The focus of the International Workshop on AI for Privacy and Security (PrAISe) is to provide a forum to discuss and advance security and privacy by means of AI approaches. Specific topics for this workshop include but are not limited to:

• Cloud Computing Security and Privacy
• Social Software / Social Computing Security and Privacy
• Online Social Networks Security and Privacy
• Cyber-Physical Systems Security and Privacy
• Internet of Things Security and Privacy
• Game-theoretic approaches to Security and Privacy
• Trust modelling in the context of Security and Privacy
• Norms and Normative Systems for Security and Privacy
• Machine Learning and Data Mining for Security and Privacy
• AI approaches for detecting Security and privacy violations
• Access Control
• Adversarial Modelling
• Automated Vulnerability Assessment / Penetration Testing
• Critical Infrastructure Protection
• CyberCrime and CyberWar
• Data Leakage and Exfiltration
• Denial of Service / Distributed Denial of Service (DoS/DDoS)
• Digital Forensics
• Distributed collaboration patterns of malicious software and their discovery
• Human Behaviour Modelling and Human Factors
• Insider Threat
• Intrusion Detection/Prevention Systems
• Learning/Recommendation/Negotiation of Security and Privacy Policies
• Validation and verification of security and privacy policies
• Multi-party/Multi-agent Access Control
• Privacy and Personal Information Protection
• Resilience and Robustness
• Risk Assessment and Management, and Risk Mitigation Strategies