Jiakai Wang

Associate researcher at Zhongguancun Laboratory
PhD and BSc from Beihang University

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大人不华,君子务实

I am now a Research Scientist, Associate researcher(副研究员), in Zhongguancun Laboratory, Beijing, China. I received the Ph.D. degree in 2022 from Beihang University (Summa Cum Laude), supervised by Prof. Wei Li and Prof. Xianglong Liu. Before that, I obtained my BSc degree in 2018 from Beihang University (Summa Cum Laude).

My research interest is Trustworthy AI in Multimodal (Computer Vision mainly), which consists of the physical adversarial examples generation, adversarial defense and evaluation . I hold the review that physical adversarial attacks and defenses can powerfully promote the development of secure and robust artificial intelligence, leading to a healthier future society.

[Prospective students] Our group has positions for PhD students (Joint Education Programs with Beihang University), and visiting students. If you are interested, please send me an email with your CV and publications (if any).

News

Mar 01, 2025 Two papers are accepted by the IEEE TMM and IEEE TIFS.
Jan 01, 2025 Two papers are accepted by the ICLR 2025 and The Web Conference(WWW) 2025 (Oral).
Dec 01, 2024 Two papers are accepted by the IJCV and ICASSP 2025.
Oct 01, 2024 I was invited as an Editorial Board Member of Computing and Artificial Intelligence (CAI), I will try my best to contribute to this publication.
Sep 01, 2024 One paper is accepted by the Annual Conference on Neural Information Processing Systems (NeurIPS 2024).
Aug 01, 2024 One paper is accepted by Transactions on Information Forensics & Security (TIFS).
Apr 01, 2024 Two papers are accepted by IJCAI 2024 and IJCV.
Apr 01, 2024 I organize the special issue about ‘‘Trustworthy Deep Learning in Practice’’ on Electronics.
Mar 01, 2024 One paper is accepted by IEEE TIP.
Feb 01, 2024 One paper is accepted by CVPR 2024.
Jan 01, 2024 Three papers are accepted by 计算机研究与发展(Journal of Computer Research and Development), IEEE TMM, and ICLR 2024.
Dec 01, 2023 One paper is accepted by 网络空间安全科学学报.
Oct 01, 2023 One paper is accepted by IEEE Symposium on Security and Privacy (IEEE S&P).
Jun 01, 2023 Two papers are accepted by IJCAI-2023 GLOW and 人工智能(AI-View).
Apr 01, 2023 One paper is accepted by IEEE TPAMI.

Selected publications

  1. CVPR 2021(Oral)
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    Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
    Jiakai Wang, Aishan Liu, Zixin Yin, and 3 more authors
    In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021
  2. IJCAI 2021 DC
    Adversarial Examples in Physical World
    Jiakai Wang
    In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021, 2021
  3. ACM MM 2022
    Generating Transferable Adversarial Examples against Vision Transformers
    Yuxuan Wang, Jiakai Wang*, Zixin Yin, and 4 more authors
    In MM ’22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10 - 14, 2022, 2022
  4. IEEE TIP
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    Universal Adversarial Patch Attack for Automatic Checkout Using Perceptual and Attentional Bias
    Jiakai Wang, Aishan Liu, Xiao Bai, and 1 more author
    IEEE Trans. Image Process., 2022
  5. CVPR 2022
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    Defensive Patches for Robust Recognition in the Physical World
    Jiakai Wang, Zixin Yin, Pengfei Hu, and 5 more authors
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022
  6. ACM CCS 2022
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    Harnessing Perceptual Adversarial Patches for Crowd Counting
    Shunchang Liu, Jiakai Wang, Aishan Liu, and 4 more authors
    In Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, CCS 2022, Los Angeles, CA, USA, November 7-11, 2022, 2022
  7. Arxiv 2023
    Adversarial Examples in the Physical World: A Survey
    Jiakai Wang, Donghua Wang, Jin Hu, and 5 more authors
    CoRR, 2023
  8. IEEE TIFS
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    Adversarial Examples Against WiFi Fingerprint-Based Localization in the Physical World
    Jiakai Wang, Ye Tao, Yichi Zhang, and 5 more authors
    IEEE Trans. Inf. Forensics Secur., 2024
  9. IJCAI 2024
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    Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation
    Yanni Xue, Haojie Hao, Jiakai Wang*, and 5 more authors
    In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024, 2024
  10. CVPR 2024
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    NAPGuard: Towards Detecting Naturalistic Adversarial Patches
    Siyang Wu, Jiakai Wang*, Jiejie Zhao, and 2 more authors
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024
  11. S&P 2024
    Transferable Multimodal Attack on Vision-Language Pre-training Models
    Haodi Wang, Kai Dong*, Zhilei Zhu, and 5 more authors
    In IEEE Symposium on Security and Privacy, SP 2024, San Francisco, CA, USA, May 19-23, 2024, 2024
  12. IJCV
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    Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression
    Jiakai Wang, Xianglong Liu, Zixin Yin, and 5 more authors
    Int. J. Comput. Vis., 2024
  13. WWW 2025(Oral)
    Dual Intention Escape: Jailbreak Attack against Large Language Models
    Xue Yanni, Wang Jiakai*, Yin Zixin, and 4 more authors
    In THE WEB CONFERENCE 2025, 2025
  14. ICASSP 2025
    Generating Targeted Universal Adversarial Perturbation against Automatic Speech Recognition via Phoneme Tailoring
    Zhang Yujun, Chen Yanqu, Wang Jiakai*, and 3 more authors
    In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025