Topics of Interest

The workshop welcomes submissions covering one or more of the following topics (including but not limited to):

Foundations of AI safety, reliability, and assurance
Secure and resilient machine learning
LLM safety, security and privacy
Adversarial robustness and mitigation strategies
AI-driven cyber security risk analysis
Formal verification and validation of AI models
Trustworthy AI in safety-critical systems (e.g., autonomous vehicles, nuclear industry, healthcare and finance)
Human–AI interaction safety and cognitive trust
Legal and regulatory aspects of AI safety and security
Ethical, fairness and transparency aspects of AI safety and security
AI for dependability enhancement and system resilience
Federated learning and privacy-preserving AI
AI incident analysis and failure recovery mechanisms
New datasets and benchmarks for AI safety and security
Comparative studies of AI safety and security