DSC 2026

11th International Conference on Data Science in Cyberspace

Qingdao coastal skyline at May Fourth Square
 

8th Workshop on Vulnerability Analysis and Adversarial Learning (VAAL 2026)

Collocated with DSC 2026 in Qingdao, China.

Scope

VAAL 2026 focuses on the discovery, understanding, exploitation, mitigation, and evaluation of vulnerabilities in information systems, AI systems, and emerging intelligent applications. As AI systems evolve toward generative models, autonomous agents, physical world models, and embodied intelligence, new vulnerabilities emerge across data, models, prompts, tools, memory, planning, perception, actuation, and deployment. Addressing these risks requires new theories, methods, benchmarks, and practical tools.

Adversarial learning studies how intelligent systems behave under carefully designed attacks and how robust defenses can improve security, privacy, safety, and resilience. VAAL 2026 provides a forum for researchers, practitioners, and industry experts to share new findings and discuss future directions in vulnerability analysis and adversarial learning. Original research papers, systematization-of-knowledge papers, experience papers, benchmark and dataset papers, and tool papers are welcome.

Topics of Interest

Topics of interest include but are not limited to:

  • Vulnerability analysis in information systems
  • Theory, methods, and modeling of vulnerability mechanisms
  • AI-powered vulnerability discovery and assessment
  • Vulnerability analysis of AI algorithms, models, and systems
  • Vulnerability analysis of generative, agentic, physical-world, and embodied AI systems
  • Adversarial learning, attacks, and defenses for intelligent systems
  • Security evaluation, benchmarking, and red teaming for AI systems

Paper Submission

All submissions must be written in English and submitted through the DSC 2026 CMT submission system. Please select the VAAL 2026 workshop track after entering CMT. Papers must not be under review elsewhere during the review period and must differ substantially from any previously published work.

Submissions will undergo single-blind review and must follow the Springer LNCS proceedings format. Accepted and presented workshop papers are planned to be included in the DSC 2026 Springer LNCS proceedings, subject to final proceedings approval and organizer instructions.

VAAL submission system: https://cmt3.research.microsoft.com/ICDSC2026/Submission/Index
Please select the corresponding workshop track after entering CMT.

Important Dates

  • Full paper due: July 16, 2026
  • Acceptance notification: August 16, 2026
  • Camera-ready copy: September 1, 2026
  • Workshop date: September 11-13, 2026

Organization

GENERAL CHAIRS

  • Hu Li, National Key Laboratory of Science and Technology on Information System Security, China
  • Xifeng Wang, National Key Laboratory of Science and Technology on Information System Security, China

PROGRAM COMMITTEE

  • Zhendong Wu, National Key Laboratory of Science and Technology on Information System Security, China
  • Xiang Wang, National University of Defense Technology, China
  • Long Luo, University of Electronic Science and Technology, China
  • Haiyang Xiong, Zhejiang University of Technology, China
  • Wei Kong, Zhejiang University of Technology, China
  • Yongkang Chen, National Institute of Metrology, China
  • Yaning Zheng, State Grid Fujian Electric Power Co., Ltd., China
  • Jingjing Wang, Yunnan Normal University, China
footer