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