7th Workshop on Vulnerability Analysis and Adversarial Learning @ DSC 2025
Place: XIONGAN, China
Introduction
We are excited to announce VAAL 2025 — the 7th Workshop on Vulnerability Analysis and Adversarial Learning! This workshop centers on the exploration of vulnerabilities in information systems, with a particular emphasis on security flaws in intelligent and AI-driven systems. We also focus on the real-world exploitation of these vulnerabilities, covering both offensive and defensive strategies that target AI algorithms, models, and systems. This year, VAAL 2025 will feature a special theme on vulnerability analysis and security challenges in Generative AI (GenAI) systems. Traditionally, system vulnerabilities have stemmed from insecure software design, unsafe programming practices, and flawed system implementations. However, the rapid advancement of intelligent systems has introduced a new frontier of security concerns—vulnerabilities intrinsic to machine learning algorithms and AI models. Addressing these issues requires not only innovative defensive strategies but also opens up exciting opportunities for groundbreaking research. At the heart of this effort is Adversarial Learning, a rapidly evolving field that lies at the intersection of machine learning and cybersecurity. Adversarial learning investigates how machine learning models perform when subjected to carefully crafted attacks and develops robust defense mechanisms to ensure the security and resilience of AI systems. With the increasing importance of vulnerability analysis and adversarial learning, VAAL 2025 aims to bring together academic researchers, industry professionals, and practitioners from diverse disciplines. The workshop will provide a vibrant forum to share insights, exchange experiences, and explore future directions in this critical and dynamic area. We look forward to your participation in VAAL 2025!
Key concerns include:
- Vulnerability Analysis in Information Systems
- Theory and Methods for Vulnerability Analysis
- Modeling and Pattern Recognition of Vulnerability Mechanisms
- AI-Powered Approaches for Vulnerability Analysis
- Vulnerability Analysis of AI Algorithms, Models, and Systems
- Vulnerabilities and Security Issues in Generative AI Systems
Submission Guideline
Please visit the Call for papers page for detailed guidelines.
Contact
If you have any questions, please contact us at cyongkang1995@nuaa.edu.cn.