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Don't Miss Early Registration Rates for SSBSS 2017 + New Keynote Speakers!
by Giuseppe Nicosia 05 May '17

05 May '17

*SSBSS - SYNTHETIC & SYSTEMS BIOLOGY SUMMER SCHOOL* *Bioengineering, Algorithmics & BioDesign Automation* *University of Cambridge, UK* *, July 17-21, 2017 * Early Registration Now Open! The Best Rates Expire on May 10, 2017 <https://www.robinson.cam.ac.uk/conferences/dms/index.php?eid=54> http://www.taosciences.it/ssbss/#application-form https://www.robinson.cam.ac.uk/conferences/dms/index.php?eid=54 For more info contact Alexis Moreau am2500(a)cam.ac.uk *Keynote Speakers:* Antonino Cattaneo, *Scuola Normale Superiore Pisa, Italy* Jasmin Fisher, *Microsoft Research & Cambridge Systems Biology Centre, UK* Carole Goble, *University of Manchester, UK* Jim Haseloff, *University of Cambridge, UK* Jay Keasling, *University of California, Berkeley, USA* Edda Klipp, *Humboldt University, Germany* Natalio Krasnogor, *Newcastle University, UK* Markus Ralser, *University of Cambridge, UK & The Francis Crick Institute, UK* Uwe Sauer, *Institute of Molecular Systems Biology, ETH Zurich, Switzerland* Gill Stephens, *The University of Nottingham, UK * Mike Stubbington, *EMBL-EBI, Cambridge UK* Eriko Takano, *University of Manchester, UK* Sarah Teichmann, *Wellcome Trust Sanger Institute & EMBL, European Bioinformatics Inst., UK* Talks Talks Matteo Barberis, University of Amsterdam, The Netherlands Other speakers will be announced soon. Industrial Panel Jonathan Chesnut, Thermo Fisher Scientific Inc., USA Other speakers will be announced soon. *Call for Talks and Posters:* *Call for Abstracts Deadline: June 17, 2017* Notification: Late Registration will be accepted until June 17, 2017, admission notification will start on May 11, 2017, according to the application time. Those who plan to present talk or a poster must submit the abstract via the EasyChair system *https://easychair.org/conferences/?conf=ssbss2017 <https://easychair.org/conferences/?conf=ssbss2017>* no lather than June 17, 2017. LATE Registration: May 11 - July 21, 2017 For more information about SSBSS 2017 visit us here <http://www.taosciences.it/ssbss/>: http://www.taosciences.it/ssbss/ Organizer: University of Cambridge, UK FB: https://www.facebook.com/ssbss.school/ SSBSS - Synthetic & Systems Biology Summer School Group: https://www.facebook.com/groups/238417586492061/ Computational Synthetic Biology Group: https://www.facebook.com/groups/1014624245288596/

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Euro-EDUPAR 2017 - submission deadline extended
by Rizos Sakellariou 04 May '17

04 May '17

[Apologies for crossposting - please kindly disseminate] ***** CALL FOR PAPERS ***** 3rd European Workshop on Parallel and Distributed Computing Education for Undergraduate Students (Euro-EDUPAR), in conjunction with Euro-Par 2017, Santiago de Compostela, Spain, August 28/29, 2017. http://www.cs.man.ac.uk/~rizos/euroedupar/index.html Submission deadline: May 12, 2017 (extended) Submission web site: https://easychair.org/conferences/?conf=europar2017workshops SCOPE AND OBJECTIVES Parallel and Distributed Computing (PDC) is nowadays omnipresent. It is in all the computational environments, from mobile devices, laptops and desktops to clusters, large-scale data centers and supercomputers, often comprising CPUs and/or coprocessors of different types (GPU, MIC, FPGA). It becomes now vital to train new generations of scientists and engineers in the use of these computational systems: parallelism-related topics must be incorporated in Computer Science (CS) and Computer Engineering (CE) programs. In this context, the 3rd European Workshop on Parallel and Distributed Computing Education for Undergraduate Students (Euro-EDUPAR) invites unpublished manuscripts from individuals or teams from academia, industry, and other educational and/or research institutes on topics pertaining to the teaching of PDC topics in the Computer Science and Engineering curriculum as well as in Computational Science with PDC and/or High Performance Computing (HPC) concepts, with emphasis on European undergraduate teaching. The topics of interest include, but are not limited to: 1. Parallel and Distributed Computing (PDC) teaching in the European space 2. Pedagogical issues in PDC, educational methods and learning mechanisms 3. Novel ways of teaching PDC topics, including informal learning environments 4. Curriculum design, models for incorporating PDC topics in core CS/CE curriculum 5. Experience with incorporating PDC topics into core CS/CE courses 6. Experience with incorporating PDC topics in the context of other applications learning 7. Pedagogical tools, programming environments, and languages for PDC 8. e-Learning, e-Laboratory, online courses related to PDC 9. PDC teaching experiences at non-university levels: secondary school, industry, etc SUBMISSION GUIDELINES The submissions will follow the Euro-Par guidelines, in PDF format, and should not exceed 12 pages in the Springer LNCS style, which can be downloaded from the Springer Web site. Paper submission is handled electronically (EasyChair). The 12-page limit is comprehensive (text, figures, references). Complete LaTeX sources must be provided for accepted papers. Short papers and work-in-progress papers can be submitted and presented at the workshop, but they will not be eligible for the post-conference proceedings. Submissions will be reviewed by at least 3 members of the Program Committee and will be assessed according to impact at European level, the novelty of contributions, impact on broader undergraduate curriculum, relevance to the goals of the workshop, results and methodology. The workshop proceedings will be published in a LNCS Euro-Par 2017 Workshops volume after the conference. Only full papers between 10 and 12 pages presented at the workshop will be included. IMPORTANT DATES May 5, 2017: Paper submission deadline June 16, 2017: Author notification July 21, 2017: Paper due, for informal workshop proceedings October 3, 2017: Camera-ready paper (including LaTeX sources) deadline ORGANIZATION General Co-Chairs: Sushil K. Prasad, Georgia State University, USA Yves Robert, Ecole Normale Superieure de Lyon, France Arnold L. Rosenberg, Northeastern University, USA Program Chair: Rizos Sakellariou, University of Manchester, UK Steering Committee: Henri E. Bal, Vrije Universiteit, the Netherlands Alexey Lastovetsky, Univesity College Dublin, Ireland Christian Lengauer, University of Passau, Germany Pierre Manneback, University of Mons, Belgium Sushil K. Prasad, Georgia State University, USA Yves Robert (Chair), Ecole Normale Superieure de Lyon, France Arnold L. Rosenberg, Northeastern University, USA Rizos Sakellariou, University of Manchester, UK Cristina Silvano, Politecnico di Milano, Italy Paul G. Spirakis, University of Liverpool, UK Denis Trystram, Grenoble Institute of Technology, France Mateo Valero, Barcelona Supercomputing Center, Spain Vladimir Voevodin, Moscow State University, Russia Program Committee: Marco Aldinucci, University of Torino, Italy Jorge G. Barbosa, University of Porto, Portugal Pascal Bouvry, University of Luxembourg, Luxembourg Marian Bubak, AGH Krakow, Poland and University of Amsterdam, the Netherlands Alex Delis, University of Athens, Greece Efstratios Gallopoulos, University of Patras, Greece Chryssis Georgiou, University of Cyprus, Cyprus Domingo Gimenez, University of Murcia, Spain Sergei Gorlatch, University of Muenster, Germany Thilo Kielmann, VU Amsterdam, the Netherlands Alexey Lastovetsky, UCD, Ireland Tomas Margalef, UAB, Spain Svetozar Margenov, Bulgarian Academy of Sciences, Bulgaria Milan Mihajlovic, University of Manchester, UK Marcin Paprzycki, Polish Academy of Sciences, Poland Dana Petcu, West University of Timisoara, Romania Gudula Ruenger, TU Chemnitz, Germany Jesper Larsson Traff, TU Wien, Austria Philippas Tsigas, Chalmers University, Sweden Juan Tourino, University of A Coruna, Spain Vladimir Voevodin, Moscow State University, Russia David Walker, Cardiff University, UK

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CIBB 2017 - Special Session on Modeling and Simulation Methods for Systems Biology and Systems Medicine: Call for papers
by Chiara Damiani 04 May '17

04 May '17

[Apologies for cross-posting. Please kindly disseminate this call to your colleagues and contacts] ***Special Session on Modeling and Simulation Methods for Systems Biology and Systems Medicine*** hosted by CIBB 2017 <http://co2.unica.it/cibb2017/>, 14th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics 7-9 September 2017, Cagliari, Italy ---------------------------------------------------------------------------------------------------- Paper Submission Deadline: 4 June 2017 ---------------------------------------------------------------------------------------------------- CALL FOR PAPERS Systems Biology deals with the analysis of natural systems at different scales of complexity, requiring completely different modeling frameworks and computational methods. Given that Systems Biology approaches are becoming well established, the challenge is now to apply the developed techniques towards the definition of personalized models in order to identify individually tailored drugs and treatments; i.e. to realize the Personalized Medicine paradigm. The scope of this special session is to bring together researchers involved in the development of methods applied to the fields of Systems Biology and Systems Medicine. Topics of interest include, but are not limited to: analysis of robustness of cellular networks   biomedical model parameterization cancer progression models clinical image analysis emergent properties in complex biological systems   flux balance analysis   metabolic engineering   metabolic pathway analysis   model verification and refinement methods   models of neural activity multiscale modelling and simulation of biological systems   parameter estimation methods personalized models reverse engineering of reaction networks   software tools for systems biology   spatiotemporal modelling and simulation of biological systems IMPORTANT DATES Papers due: 4 June 2017 Acceptance: 22 June 2017 Registration due: 17 July 2017 Camera-ready: 22 July 2017 PROCEEDINGS Authors of accepted short papers (4-6 pages) will be invited to submit an extended version of their work to a post-conference monograph, which is planned to be published in the Springer series of Lecture Notes in Bioinformatics (LNBI). Best papers will be invited to a special issue of an international scientific journal (such as BMC Bioinformatics, as in the latest editions). PAPER SUBMISSION Instructions for submission can be found here <http://co2.unica.it/cibb2017/call.php> SESSION CHAIRS Chiara Damiani, University of Milano-Bicocca, Italy Paolo Cazzaniga, University of Bergamo, Italy Marco S. Nobile, University of Milano-Bicocca, Italy Riccardo Colombo, University of Milano-Bicocca, Italy Giancarlo Mauri, University of Milano-Bicocca, Italy Alex Graudenzi, University of Milano-Bicocca, Italy CONTACT Chiara Damiani, PhD Department of Informatics, Systems and Communication, University of Milan-Bicocca mail: chiara.damiani(a)unimib.it <mailto:chiara.damiani@unimib.it> phone: +39 02 64487918 Chiara Damiani, Ph.D. Department of Informatics, Systems and Communication University of Milan Bicocca Building U14 - Room 1002 - Viale Sarca 336I-20126 - Milan (MI) - phone: +39 02 64487918 mail: chiara.damiani(a)unimib.it <mailto:chiara.damiani@unimib.it> _______________________________________________ bimib-group(a)mailing.disco.unimib.it <mailto:bimib-group@mailing.disco.unimib.it> http://strumenti.didattica.unimib.it/mailman//listinfo/bimib-group <http://strumenti.didattica.unimib.it/mailman//listinfo/bimib-group> Chiara Damiani, Ph.D. Department of Informatics, Systems and Communication University of Milan Bicocca Building U14 - Room 1002 - Viale Sarca 336I-20126 - Milan (MI) - phone: +39 02 64487918 mail: chiara.damiani(a)unimib.it <mailto:chiara.damiani@unimib.it> Chiara Damiani, Ph.D. Department of Informatics, Systems and Communication University of Milan Bicocca Building U14 - Room 1002 - Viale Sarca 336I-20126 - Milan (MI) - phone: +39 02 64487918 mail: chiara.damiani(a)unimib.it <mailto:chiara.damiani@unimib.it>

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Graphical Models for Security (GraMSec 2017) co-located with CSF 2017
by Barbara Kordy 04 May '17

04 May '17

GraMSec 2017 - call for papers The Fourth International Workshop on Graphical Models for Security Santa Barbara, CA, USA - August 21, 2017 http://gramsec.uni.lu Co-located with CSF 2017 LNCS proceedings confirmed SCOPE Graphical security models provide an intuitive but systematic approach to analyze security weaknesses of systems and to evaluate potential protection measures. Cyber security researchers, as well as security professionals from industry and government, have proposed various graphical security modeling schemes. Such models are used to capture different security facets (digital, physical, and social) and address a range of challenges including vulnerability assessment, risk analysis, defense analysis, automated defensing, secure services composition, policy validation and verification. The objective of the GraMSec workshop is to contribute to the development of well-founded graphical security models, efficient algorithms for their analysis, as well as methodologies for their practical usage. TOPICS The workshop seeks submissions from academia, industry, and government presenting novel research on all theoretical and practical aspects of graphical models for security. The topics of the workshop include, but are not limited to: • Graphical models for threat modeling and analysis • Graphical models for risk analysis and management • Graphical models for requirements analysis and management • Textual and graphical representation for system, organizational, and business security • Visual security modeling and analysis of socio-technical and cyber-physical systems • Graphical security modeling for cyber situational awareness • Graphical models supporting the security by design paradigm • Methods for quantitative and qualitative analysis of graphical security models • Formal semantics and verification of graphical security models • Methods for (semi-)automatic generation of graphical security models • Enhancement and/or optimization of existing graphical security models • Scalable evaluation of graphical security models • Evaluation algorithms for graphical security models • Dynamic update of graphical security models • Game theoretical approaches to graphical security modeling • Attack trees, attack graphs and their variants • Stochastic Petri nets, Markov chains, and Bayesian networks for security • UML-based models and other graphical modeling approaches for security • Software tools for graphical security modeling and analysis • Case studies and experience reports on the use of graphical security modeling paradigm INVITED SPEAKER To be decided. PAPER SUBMISSION We solicit two types of submissions: • Regular papers (up to 15 pages, excluding the bibliography and well-marked appendices) describing original and unpublished work within the scope of the workshop. • Short papers (up to 7 pages, excluding the bibliography and well-marked appendices) describing original and unpublished work in progress. The reviewers are not required to read the appendices, so the papers should be intelligible without them. All submissions must be prepared using the LNCS style: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Each paper will undergo a thorough review process. All accepted (regular and short) papers will be included in the workshop's post-proceedings. The GraMSec 2017 post-proceedings will be published in the Lecture Notes in Computer Science (LNCS) series of Springer. Submissions should be made using the GraMSec 2017 EasyChair web site: https://www.easychair.org/conferences/?conf=gramsec17 IMPORTANT DATES • Submission deadline: Sunday, May 21, 2017 • Acceptance notification: Friday, July 7, 2017 • Workshop: Monday, August 21, 2017 GENERAL CHAIR • Sjouke Mauw, University of Luxembourg, Luxembourg PROGRAM CHAIRS • Peng Liu, Pennsylvania State University, USA • Ketil Stølen, SINTEF Digital and University of Oslo, Norway PC MEMBERS Mathieu Acher, University Rennes 1, Inria, France Massimiliano Albanese, George Mason University, USA Ludovic Apvrille, Télécom ParisTech, France Thomas Bauereiss, DFKI, Germany Kristian Beckers, Technical University of Munich, Germany Giampaolo Bella, University of Catania, Italy Stefano Bistarelli, Università di Perugia, Italy Marc Bouissou, EDF RD, France Frédéric Cuppens, Télécom Bretagne, France Nora Cuppens-Boulahia, Télécom Bretagne, France Binbin Chen, Advanced Digital Sciences Center, Singapore Hervé Debar, Télécom SudParis, France Harley Eades, Augusta University, USA Mathias Ekstedt, KTH - Royal Institute of Technology, Sweden Ulrik Franke, Swedish Institute of Computer Science - SICS, Sweden Frank Fransen, TNO, The Netherlands Olga Gadyatskaya, University of Luxembourg, Luxembourg Paolo Giorgini, University of Trento, Italy Dieter Gollmann, Hamburg University of Technology, Germany Joshua Guttman, WPI and MITRE, USA René Rydhof Hansen, Aalborg University, Denmark Maritta Heisel, Universität Duisburg-Essen, Germany Hannes Holm, Swedish Defence Research Agency, Sweden Siv Hilde Houmb, Secure-NOK AS, Norway Sushil Jajodia, George Mason University, USA Ravi Jhawar, University of Luxembourg, Luxembourg Henk Jonkers, BiZZdesign, The Netherlands Cristian Johansen, University of Oslo, Norway Florian Kammueller, Middlesex University London, UK Nima Khakzad, TU Delft, The Netherlands Dong Seong Kim, University of Canterbury, New Zealand Barbara Kordy, INSA Rennes, IRISA, France Pascal Lafourcade, Université Clermont Auvergne, LIMOS, France Jean-Louis Lanet, Inria, France Per Håkon Meland, SINTEF Digital, Norway Jogesh Muppala, HKUST, Hong Kong, SAR China Simin Nadjm-Tehrani, Linköping University, Sweden Andreas L. Opdahl, University of Bergen, Norway Xinming Ou, University of South Florida, USA Stéphane Paul, Thales Research and Technology, France Wolter Pieters, TU Delft, The Netherlands Ludovic Piètre-Cambacédès, EDF, FR Sophie Pinchinat, University Rennes 1, IRISA, France Vincenzo Piuri, University of Milan, Italy Marc Pouly, Lucerne University of Applied Sciences and Arts, Switzerland Nicolas Prigent, Supélec, France Christian W. Probst, Technical University of Denmark, Denmark David Pym, UCL, UK Saša Radomirovic, University of Dundee, UK Indrajit Ray, Colorado State University, USA Arend Rensink, University of Twente, The Netherlands Yves Roudier, Université Côte d'Azur, CNRS, I3S, UNS, France Guttorm Sindre, NUST, Norway Mariëlle Stoelinga, University of Twente, The Netherlands Xiaoyan Sun, California State University, USA Axel Tanner, IBM Research - Zurich, Switzerland Alexandre Vernotte, KTH - Royal Institute of Technology, Sweden Luca Viganò, King's College London, UK Lingyu Wang, Concordia University, Canada Jan Willemson, Cybernetica, Estonia CONTACT For inquiries please send an e-mail to gramsec17(a)easychair.org

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Recruitment - Postdocs on Cyber-Physical Security at SUTD, Singapore
by Jianying Zhou 03 May '17

03 May '17

Singapore University of Technology and Design (SUTD) is a young university established in collaboration with MIT. Cyber security is one of its most important areas and grows very fast with rich research funding. It has the world's best facilities in cyber-physical systems (CPS) including testbeds for Secure Water Treatment (SWaT), Water Distribution (WADI), Electric Power and Intelligent Control (EPIC), and IoT. (See more info at https://itrust.sutd.edu.sg/research/testbeds/) I am looking for postdocs with expertise on cyber-physical system security, especially in the areas of autonomous vehicle and IoT. The candidates should have track record of strong R&D capability, be able to perform deep system-level investigations of security mechanisms, be a good team player, and also have good written/oral communication skills. The position will provide an excellent opportunity to perform both basic and translational research in close collaboration with industry. Successful candidates will be offered internationally competitive remuneration, and enjoy high-quality living and low tax rates in Singapore. Interested candidates please send your CV with a research statement to Prof. Jianying Zhou. Contact: Prof. Jianying Zhou Email: jianying_zhou(a)sutd.edu.sg Home: http://jianying.space/

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Recruitment - PhD Interns on Cyber-Physical Security at SUTD, Singapore
by Jianying Zhou 03 May '17

03 May '17

Singapore University of Technology and Design (SUTD) is a young university established in collaboration with MIT. Cyber security is one of its most important areas and grows very fast with rich research funding. It has the world's best facilities in cyber-physical systems (CPS) including testbeds for Secure Water Treatment (SWaT), Water Distribution (WADI), Electric Power and Intelligent Control (EPIC), and IoT. (See more info at https://itrust.sutd.edu.sg/research/testbeds/) I am looking for PhD interns with interest in cyber-physical system security (IoT, autonomous vehicle, and power grid etc.), especially on the topics such as 1) Lightweight and low-latency crypto algorithms for CPS devices, 2) Resilient authentication of devices and data in CPS, 3) Advanced SCADA firewall to filter more sophisticated attacking packets in CPS, 4) Big data based threat analytics for detection of both known and unknown threats, 5) Attack mitigation to increase the resilience of CPS. The attachment will be at least 3 months. Allowance will be provided for local expenses. Interested candidates please send your CV with a research statement to Prof. Jianying Zhou. Contact: Prof. Jianying Zhou Email: jianying_zhou(a)sutd.edu.sg Home: http://jianying.space/

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AI in Security Workshop at IJCAI - second CFP
by Madden, Michael 03 May '17

03 May '17

1st International Workshop on A.I. in Security. An IJCAI Workshop, Melbourne, Australia, 20th August 2017 . Details and submissions: http://iwaise.it.nuigalway.ie/ Deadline for submissions: 15 May 2017. Artiﬁcial intelligence has an important role to play in improving the resilience of society to both digital and physical threats, and in safeguarding the privacy of individuals, as the world becomes increasingly interconnected. Relevant AI techniques include: knowledge representation; probabilistic reasoning; machine learning; anomaly detection; image recognition; speech recognition; social network analysis; and many others. For example, anomaly detection and temporal data mining can enable the automated detection of physical and/or digital threats; while advances in AI for autonomous vehicles can allow robotic vehicles to be used to secure remote locations that are hazardous to humans, and for search and rescue. AI for physical security is also being successfully used in homeland security applications. To date the physical and digital security communities have limited opportunities to share their research ﬁndings and to engage with the wider AI community. This workshop will to bring together academic researchers and industry practitioners in a single location, to present and discuss their new research. It will also provide an opportunity for attendees to highlight current challenges in AI for digital and physical security, propose multi-disciplinary solutions, and showcase the application of AI in this domain. This workshop seeks novel research, case studies and survey papers in topics that include, but are not limited to, the following: Security Analytics: Machine Learning; Security Threat Detection and Visualization; Future Threat Inference; Situational Awareness Monitoring; Automated Message Monitoring; Security Decision Support; Network Event Detection Finance: Applications of AI to: Digital Currencies; Secure Payments; Detection of Tax Evasion or Money Laundering; etc Forensics: Automated Physical Evidence Gathering; Data and Network Analysis; Digital Forensic Tools; Decision Support for Rare Events Images, Text & Networks: Automated Crowd Scanning; Video Analytics; Damage Assessment; Automatic Detection of Hate Speech and Radicalisation on Social Media; Security Sentiment Analysis Physical Security: Automated Monitoring of Secure Locations; Automated Threat Detection; Crisis Management; Sensor Data Analytics; Spatio-Temporal Reasoning; Reasoning from Distributed, Dissimilar and Noisy Data Stream Digital Security: AI for Detection and Mitigation of Threats Such as: Spear Phishing; Social Engineering; Botnets; Intrusion, as well as AI methods for improving Penetration Testing Software Engineering: AI Applied to: Design for Security; Program Analysis; Fault Detection; Compiler and Language Design; Veriﬁcation of Privacy and Security Compliance; Adaptive Security/Privacy Robotics: Securing Remote or Restricted Locations; Operations in Remote or Dangerous locations; Roboguards; Search and Rescue Privacy and Identity Biometrics: Face Recognition; Innovative Cryptography; Anonymization and De-anonymization; Ethics of AI for Security Organizing Committee: • Michael Madden (National University of Ireland Galway, Ireland) • Barry O’Sullivan (University College Cork, Ireland) • Jo Ueyama (University of Sao Paulo, Brazil) • Brett Drury (National University of Ireland Galway, Ireland) -- Dr Michael Madden Head of Data Mining & Machine Learning Group National University of Ireland, Galway +353-91-493797 / +353-86-7952802 http://datamining.it.nuigalway.ie/

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CFP: Special Issue on "Security and Privacy in Cloud-Assisted Cyber-Physical Systems" in Computer Networks Journal (Elsevier)
by Cristina Alcaraz 01 May '17

01 May '17

*** Apologies for multiple copies *** ================================================================================ C a l l F o r P a p e r s COMPUTER NETWORKS JOURNAL - Elsevier Special Issue: Security and Privacy in Cloud-Assisted Cyber-Physical Systems ================================================================================ Cloud-assisted Cyber-Physical Systems (CPS) feature a tight coupling between embedded computing devices and their physical environment. CPSes can be viewed as the bridge between physical components/processes and the cyber space. Specifically, the notion of CPSes is to use computing (e.g. sensing, analyzing and predicting), communication (e.g. interaction, intervene and interface management), and controlling (e.g. inter-operation, evolving and evidence-based certification) to make intelligent and autonomous systems. Recent years have seen a dramatic rise in the development of CPSes services, including ubiquitous health care, smart electricity grid, and smart buildings. However, the fast-growing data volume is hard to process. The present CPSes cannot support ultra-fast computing, and thus it cannot provide real-time and reliable services to meet the requirements, which are essential for mission-critical systems. Fortunately, cloud infrastructures and platforms can provide flexible and on-demand processing power and high-capacity storage for data streams, as well as provisioning of a variety of services using telecommunication and networking technologies. Thus, the large-scale nature of CPSes can be effectively and efficiently supported and assisted by cloud systems, which is referred to as cloud-assisted CPSes (Cloud-CPS). The coupling of cloud systems and CPSes, though advantageous, is subject to new forms of risks that have not been considered adequately in the traditional computing domain. CPSes often collect sensitive and private information about the physical environment. A loss of security for a CPS can therefore have significant negative impact including loss of privacy, potential physical harm, discrimination, and abuse. Though numerous security primitives have been developed in the cyber domain to address the very same problems, their applicability to the Cloud-CPSes domain is still questionable due to the reason that they are usually complex to implement and oblivious to cyber-physical interactions. The goal of this special issue is to unveil and address the security and privacy aspects associated to the Cloud-CPeSs. Suggested topics include, but are not limited to the following. * Secure data sharing in Cloud-CPSes * Big data security and privacy in Cloud-CPSes * Secure computation in Cloud-CPSes * Location privacy in Cloud-CPSes * Lightweight block ciphers for low-resource devices in Cloud-CPSes * Searchable encryption in Cloud-CPSes * End to end secure communications in Cloud-CPSes * Access control in Cloud-CPSes * Key management in Cloud-CPSes These topics remark the differences between the classical CPSes and Cloud-CPSes, and particularly when designing security and privacy solutions for specific Cloud-assisted CPSes applied in restricted environments with rigorous performance requirements and criticality in mind. ----------------------------------------- Important Dates ----------------------------------------- * Submission deadline: June 30, 2017 * Notification of acceptance: August 31, 2017 * Final manuscript due: October 15, 2017 ----------------------------------------- Paper Submission Guidelines ----------------------------------------- All submitted papers to this special issue must be well written in English, and must be original and not be under review in any other journal or conference proceedings. When submitting their papers authors must select “Security in Cloud CPS” as the article type. Submitted papers should be presented according to the journal style. For more detailed information regarding the requirements for submission, please refer to: https://www.elsevier.com/journals/computer-networks/1389-1286/guide-for-aut…. Requests for additional information should be addressed to the guest editors. ----------------------------------------- Guest Editors ----------------------------------------- Cristina Alcaraz, University of Malaga, alcaraz(a)lcc.uma.es Xinyi Huang, Fujian Normal University, xyhuang81(a)gmail.com Eric Rome, Fraunhofer, erich.rome(a)iais.fraunhofer.de

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[CfP] ICCST-2017 Abstract Submission Extension: 12th May 2017
by riccardo.lazzeretti＠math.unipd.it 30 Apr '17

30 Apr '17

[apologies if you received multiple copies] Abstract Submission Extension: 12th May 2017 ICCST-2017: 51st International Carnahan Conference on Security Technology Madrid, Spain, October 23 - 26, 2017 http://atvs.ii.uam.es/iccst2017/ The International Carnahan Conference on Security Technology, technically sponsored by IEEE is one of the longest-running international technical symposia. This conference has a broad scope and invites papers that advance security technologies including physical, cyber and electronic security research, development, systems engineering, testing, evaluation, case studies and new research lines to face current and future challenges. All papers will be carefully subjected to a blind review process. Conference proceedings will appear in IEEE Xplore. As well as this top ranking technical event, Madrid also offers you the amazing features of a major, modern and historical European city, its legendary social activity, and the appeal of its Mediterranean gastronomy and lifestyle. The main social event at ICCST-2017 will include a display of flamenco dancing. Important Dates: Abstract Submission: May 12, 2017 Decision to Authors: June 9, 2017 Final Manuscript: July 20, 2017 Early Registration: August 15, 2017 Technically Sponsored by: IEEE AESS Best Regards, ICCST-2017 Organizing Committee ICCST-2017 Executive Committee http://atvs.ii.uam.es/iccst2017/

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DeepLearn 2017: early registration May 19
by GRLMC 30 Apr '17

30 Apr '17

DeepLearn 2017: early registration May 19*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ************************************************************ INTERNATIONAL SUMMER SCHOOL ON DEEP LEARNING DeepLearn 2017 Bilbao, Spain July 17-21, 2017 Organized by: University of Deusto Rovira i Virgili University http://grammars.grlmc.com/DeepLearn2017/ ************************************************************ --- Early registration deadline: May 19, 2017 --- ******************************************************** SCOPE: DeepLearn 2017 will be a research training event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neuroscience, computer vision, speech recognition, language processing, drug discovery, biomedical informatics, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 4 keynote lectures, 30 six-hour courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. ADDRESSED TO: In principle, graduate students, doctoral students and postdocs will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. DeepLearn 2017 is also appropriate for more senior academics and practitioners who want to keep themselves updated on recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators. REGIME: In addition to keynotes, 3-4 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. VENUE: DeepLearn 2017 will take place in Bilbao, the largest city in the Basque Country, famous for its gastronomy and the seat of the Guggenheim Museum. The venue will be: DeustoTech, School of Engineering University of Deusto Avda. Universidades, 24 48014 Bilbao, Spain KEYNOTE SPEAKERS: (to be completed) Richard Socher (Salesforce), Tackling the Limits of Deep Learning PROFESSORS AND COURSES: Narendra Ahuja (University of Illinois, Urbana-Champaign), [introductory/intermediate] Basics of Deep Learning with Applications to Image Processing, Pattern Recognition and Computer Vision Pierre Baldi (University of California, Irvine), [intermediate/advanced] Deep Learning: Theory and Applications to the Natural Sciences Sven Behnke (University of Bonn), [intermediate] Visual Perception using Deep Convolutional Neural Networks Mohammed Bennamoun (University of Western Australia), [introductory/intermediate] Deep Learning for Computer Vision Hervé Bourlard (Idiap Research Institute), [intermediate/advanced] Deep Sequence Modeling: Historical Perspective and Current Trends Thomas Breuel (NVIDIA Corporation), [intermediate] Segmentation, Processing, and Tracking, with Applications to Video, Gaming, VR, and Self-driving Cars George Cybenko (Dartmouth College), [intermediate] Deep Learning of Behaviors Rina Dechter (University of California, Irvine), [introductory] Algorithms for Reasoning with Probabilistic Graphical Models Li Deng (Microsoft Research), tba Jianfeng Gao (Microsoft Research), [introductory/intermediate] An Introduction to Deep Learning for Natural Language Processing Michael Gschwind (IBM T.J. Watson Research Center), [introductory/intermediate] Deploying Deep Learning Applications at the Enterprise Scale Yufei Huang (University of Texas, San Antonio), [intermediate/advanced] Deep Learning for Precision Medicine and Biomedical informatics Soo-Young Lee (Korea Advanced Institute of Science and Technology), [intermediate/advanced] Multi-modal Deep Learning for the Recognition of Human Emotions in the Wild Li Erran Li (Columbia University), [intermediate/advanced] Deep Reinforcement Learning: Recent Advances and Frontiers Michael C. Mozer (University of Colorado, Boulder), [introductory/intermediate] Incorporating Domain Bias into Neural Networks Roderick Murray-Smith (University of Glasgow), [intermediate] Applications of Deep Learning Models in Human-Computer Interaction Research Hermann Ney (RWTH Aachen University), [intermediate/advanced] Speech Recognition and Machine Translation: From Statistical Decision Theory to Machine Learning and Deep Neural Networks Jose C. Principe (University of Florida), [intermediate/advanced] Cognitive Architectures for Object Recognition in Video Marc’Aurelio Ranzato (Facebook AI Research), [introductory/intermediate] Learning Representations for Vision, Speech and Text Processing Applications Maximilian Riesenhuber (Georgetown University), [introductory/intermediate] Deep Learning in the Brain Ruslan Salakhutdinov (Carnegie Mellon University), [intermediate/advanced] Foundations of Deep Learning and its Recent Advances Alessandro Sperduti (University of Padua), [intermediate/advanced] Deep Learning for Sequences Jimeng Sun (Georgia Institute of Technology), [introductory] Interpretable Deep Learning Models for Healthcare Applications Julian Togelius (New York University), [intermediate] (Deep) Learning for (Video) Games Joos Vandewalle (KU Leuven), [introductory/intermediate] Data Processing Methods, and Applications of Least Squares Support Vector Machines Ying Nian Wu (University of California, Los Angeles), [introductory/intermediate] Generative Modeling and Unsupervised Learning Eric P. Xing (Carnegie Mellon University), [intermediate/advanced] Statistical Machine Learning Perspectives of Extending Deep Neural Networks: Kernels, Logics, Regularizers, Priors, and Distributed Algorithms Georgios N. Yannakakis (University of Malta), [introductory/intermediate] Deep Learning for Games - But Not for Playing them Scott Wen-tau Yih (Microsoft Research), [introductory/intermediate] Continuous Representations for Natural Language Understanding Richard Zemel (University of Toronto), [introductory/intermediate] Learning to Understand Images and Text OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david.silva409 (at) yahoo.com by July 9, 2017. INDUSTRIAL SESSION: A specific session will be devoted to demonstrations of practical uses of deep learning in industrial processes. Companies/people interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration, the duration requested and the logistics necessary. At least one of the people participating in the demonstration should have registered for the event. Expressions of interest have to be submitted to david.silva409 (at) yahoo.com by July 2, 2017. EMPLOYERS SESSION: Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. At least one of the people in charge of the search should have registered for the event. Expressions of interest have to be submitted to david.silva409 (at) yahoo.com by July 2, 2017. ORGANIZING COMMITTEE: Pablo García Bringas (co-chair) José Gaviria Carlos Martín (co-chair) Manuel Jesús Parra Iker Pastor Borja Sanz (co-chair) David Silva REGISTRATION: It has to be done at http://grammars.grlmc.com/DeepLearn2017/registration.php The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an approximation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue will be complete. It is much recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. ACCOMMODATION: Suggestions for accommodation are available on the website. CERTIFICATE: Participants will be delivered a certificate of attendance indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david.silva409 (at) yahoo.com ACKNOWLEDGMENTS: Universidad de Deusto Universitat Rovira i Virgili

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