Call for Papers

• Important dates. All deadlines are Anywhere on Earth (AoE = UTC-12h):

  • Workshop paper submission: March 12, 2026
  • Workshop acceptance notification: April 10, 2026

• Scope of papers. We invite the following types of papers (page limits exclude well-marked references and appendix):

  • Extended abstracts for a poster session (maximum of 2 pages ) that describe ongoing ideas and work in progress and would benefit from quick feedback from the research community.
  • Original research papers (maximum of 6 pages ) that describe novel contributions, report on experimental results, or present industry experiences such as case or field studies.
  • Position and open problem papers (maximum of 6 pages ) discussing promising preliminary experimental results, approaches, ideas, or challenging issues for application in industry; future perspectives and roadmap papers; and “Systematization of knowledge” papers which provide a comprehensive view of the state-of-the-art on the workshop topics.

• Handling the use of generative AI. Since there will be no formal workshop proceedings and the focus is placed on research talks, we see a low risk of AI-generated submissions. Should the organizers or the PC encounter any suspicious submissions, they will be rejected. The organizers will oversee the review process and ensure high-quality feedback is provided by all reviewers. If an author or co-reviewer reports a suspicious review, one of the workshop chairs will check the review in question and, if needed, provide an additional review.

• Paper topics. Topics of interest include, but are not limited to, the following areas:

  (a) Applications of AI for enhancing security

  • AI for security requirements engineering, secure coding and application security guidelines
  • AI for assessing security design and threat modeling documents, and planned mitigations
  • AI for aiding security code review, securing source code, and processing documentation
  • AI for SAST, DAST, penetration testing, application and container security testing
  • AI for incident response planning and execution

  (b) Modeling security for AI-augmented systems

  • Approaches to secure software architecture
  • Security risk assessment and analysis
  • Security risk management
  • Threat, attack, intrusion and defense modeling
  • Challenges with modeling or integrating legacy systems with AI components

  (c) Enforcing security for AI-augmented systems

  • Preventing AI misuse and AI benchmarking
  • Enforcing security between design and implementation
  • Enforcing security between implementation and runtime
  • Developing attacks and defenses

  (d) Measuring security for AI-augmented systems

  • Metrics and measurement approaches
  • Security, trust and privacy metrics
  • Measurement systems and associated data gathering
  • Security trade-off analyses
  • Assurance and security certification methods
  • Devtime and runtime security measurements
  • Visualization approaches for security measurements
  • Human aspects and diversity effects

Committee

Workshop Chairs

• Katja Tuma ,Vrije Universiteit Amsterdam, Netherlands
• Jamal El Hachem , University of Southern Brittany, France
• Maura Pintor , University of Cagliari, Italy

Steering Committee

• Fabio Massacci , Vrije Universiteit Amsterdam and the University of Trento, Netherlands, Italy
• Koen Yskout , Katholieke Universiteit Leuven (KU), Belgium
• Mehdi Mirakhorli , University of Hawaii, USA