Welcome to VAAL 2021, the 4th workshop on Vulnerability Analysis and Adversarial Learning. The workshop focus 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 fourth 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 andadversarial 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 systemvulnerability 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

All submissions should be written in English and submitted via our submission system: https://cmt3.research.microsoft.com/VAAL2021. A paper submitted to VAAL 2021 cannot be under review for any other conference or journal during the entire period that it is considered for VAAL 2021, and must be substantially different from any previously published work.Submissions are reviewed in a single-blind manner.Please note that all submissions must strictly adhere to the IEEE templates asprovided at http://www.ieeedsc.org/2021/submission.html. The templates also act as a guideline regarding formatting. In particular, all submissions must use either the LATEXtemplate or the MS-Word template. Please follow exactly the instructions below to ensure that your submission can ultimately be included in the proceedings.

Full paper due: June 30, 2021, extend to July 15, 2021
Acceptance notification: July 30, 2021, extend to August 31, 2021
Camera-ready copy: August 15, 2021, extend to September 7, 2021
Conference Date: October 9-11, 2021

Xiaohui Kuang, National Key Laboratory of Science and Technology on Information System Security,China
Chao Shen,  Xian Jiaotong University, China

Zheli Liu, Nankai University, China

Yu Jiang, Tsinghua University, China

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

Yu-an Tan, Beijing Institute of Technology, China
Zhi Wang, Nankai University, China
Hongfang Yu, University of Electronic Science and Technology of China, China
Changqiao Xu, Beijing University of Posts and Telecommunications, China
Yue Yu, National University of Defense Technology, China
Zhendong Wu, National Key Laboratory of Science and Technology on Information System Security,China
Hua Chen, National Key Laboratory of Science and Technology on Information System Security,China
Fuchen Ma, Tsinghua University, China
Yixiao Yang, Tsinghua University
Chenhao Lin, Xian Jiaotong University, China
Yufei Chen, Xian Jiaotong University, China