Xiaosen Wang | 王晓森

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Xiaosen Wang received his master degree (advised by Kun He) from Huazhong University of Science and Technology, China in 2022. He recevied his Bachelor’s degree from Excellent Student ACM Class at School of Computer Science and Technology, HUST in 2019. He is generally interesetd in Machine Learning and Deep Learning, especially in Safety and Security of AI system.

I am always open to any cooperation. If you are interesting in working with me, just drop me an email!

Email | Github | Google Scholar
A compelete list of papers about adversarial examples | List of papers about transfer-based attacks | TransferAttack

News

Selected Publications (Full list)

† corresponding author, * equal contribution

Devling into Adversarial Transferability on Image Classification: Review, Benchmark, and Evaluation Image Attack
Xiaosen Wang, Zhijin Ge, Bohan Liu, Zheng Fang, Fengfan Zhou, Ruixuan Zhang, Shaokang Wang, Yuyang Luo
arXiv preprint arXiv:2602.23117, 2026
[arXiv] [Code]

Attention! Your Vision Language Model Could Be Maliciously Manipulated Multi-Modal Attack
Xiaosen Wang, Shaokang Wang, Zhijin Ge, Yuyang Luo, Shudong Zhang
Advances in Neural Information Processing Systems (NeurIPS), 2025
[arXiv] [Code]

Security Risk of Misalignment between Text and Image in Multi-modal Model Multi-Modal Attack
Xiaosen Wang, Zhijin Ge, Shaokang Wang
arXiv preprint arXiv:2510.26105, 2025
[arXiv]

Natural Language Adversarial Defense through Synonym Encoding Textual Defense
Xiaosen Wang, Hao Jin, Yichen Yang, Kun He
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
[arXiv] [Code] [Poster] [Slides]

Admix: Enhancing the Transferability of Adversarial Attacks Image Attack
Xiaosen Wang, Xuanran He, Jingdong Wang, Kun He
International Conference on Computer Vision (ICCV), 2021
[arXiv] [Code] [Poster] [Slides]

Enhancing the Transferability of Adversarial Attacks through Variance Tuning Image Attack
Xiaosen Wang, Kun He
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[arXiv] [Code] [Poster] [Slides]

Talks

Adversarial Training in Textual Adversarial Attack and Defense [link]
AI Drive Organized by Biendata and Paperweekly. Jan 12, 2021

Vulnerability Detection for Android Applications [link]
XDef Natiaon Network and Information Security Conference. Nov 24, 2017

Selected Rewards

  • World's Top 2% Scientists, Stanford, Sep. 2021
  • Outstanding Reviewer for CVPR, CVPR, May. 2022.
  • China National Scholarship, HUST, Sep. 2021.
  • Merit Master Student, HUST, Sep. 2020&2021.
  • BIGO Scholarship, HUST, Mar. 2021.
  • Tencent Rhino-BirdElite Talent Training Program, Tencent, May. 2021.
  • Shenzhen Stock Exchange Scholarship, HUST, Sep. 2020. (Only one student in CS, HUST is awarded by Shenzhen Stock Exchange each year.)
  • The CCF Elite Collegiate Award, CCF, Oct. 2018. (Only 3 students in HUST are awarded by China Computer Federation each year.)
  • Merit Student, HUST, Sep. 2018.
  • China National Scholarship, HUST, Sep. 2018.
  • China National Endeavor Scholarship, HUST, Sep. 2016.

Academic Service

  • Conference Reviewer: ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, UAI, ICME, BMVC, WACV, etc.
  • Journal Reviewer: TIFS, TMM, TCSVT, TNNLS, Neurocomputing, Pattern Recognition, IMAGE, etc.