Welcome to VAAL 2023, the 6th workshop on Vulnerability Analysis and Adversarial Learning. The workshop focuses on vulnerability analysis of information systems, especially intelligent systems. Furthermore, we follow closely how these vulnerabilities being used, i.e. attack and defense toward intelligent algorithms /models/systems and etc.

Traditionally, vulnerabilities come from unreasonable software design, non-standard programming and etc. Recently, advance of vulnerability analysis in intelligent systems, especially in machine learning algorithms, get more and more attention.

Vulnerabilities of machine learning algorithms or models is the foundation of Adversarial Learning, which is a novel research area that lies at the intersection of machine learning and computer security. It aims at gaining a deeper understanding of the security properties of current machine learning algorithms against carefully targeted attacks, and at developing suitable countermeasure for the design of more secure learning algorithm.

Research on vulnerability analysis and adversarial learning have got increasing research attention in recent years. And thus, we launched the sixth workshop on VAAL. This workshop aims to increase potential collaborations and partnerships by bring together academic researchers and industry practitioners from information system vulnerability analysis and adversarial learning with the objectives to present updated research efforts and progresses on foundational and emerging topics of VAAL, exchange new ideas and identify future research directions.

1. Information system vulnerability analysis
2. Vulnerability analysis theory and method
3. Vulnerability mechanism model and pattern
4. Machine learning for vulnerability analysis
5. Vulnerability analysis of AI algorithms /models/systems
6. Formal theory for adversarial leaning
7. Evaluation metrics for adversarial learning
8. Security of large language models
9. Security of AI framework