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/