🔥 Biography

I am a research fellow at Nanyang Technological University, working with Prof. Yang Liu. I received my Ph.D. Degree from the University of Chinese Academy of Sciences, advised by Professor Xiaochun Cao. My PhD research interests include computer vision, adversarial attack, adversarial training and reinforcement learning etc.

I was a visiting student (Remote) from February, 2023 to September, 2023 in the Torr Vision Group, University of Oxford. I was a research intern from March, 2022 to February, 2023 at Ali Group Security. I was a research intern from May, 2020 to February, 2022 at Tencent AI Lab.

At present, I am focused on issues related to the security of large models, including jailbreaking attacks on LLM (Large Language Models), adversarial transferability on VLM (Vision Language Models), and so on.

🎉 News

  • 2024.08:   Champion in CCDM 2024 Red Teaming Multimodal Large Language Model Security Challenge.
  • 2024.07:   One paper on Unlearnable Examples for VLP is accepted in ACM MM2024.
  • 2024.07:   One paper on Transferability of Adversarial Examples on VLP is accepted in ECCV2024.
  • 2024.06:   One paper on Fast Adversarial Training is accepted in TIFS2024.
  • 2024.05:   One paper on Universal Adversarial Examples is accepted in TIFS2024.
  • 2024.04:   One paper on Survey on Transferability of Adversarial Examples is accepted in TMLR2024.
  • 2024.03:   One paper on Fast Adversarial Training is accepted in TPAMI2024.
  • 2024.02:   One paper on Adversarial Attack on 3D is accepted in CVPR2024.
  • 2024.01:   One paper on Backdoor Attack is accepted in ICLR2024.
  • 2024.01:   One Journal paper on Backdoor Attack is accepted to TIFS2024.
  • 2023.12:   Second runner-up in NeurIPS 2023 Red Teaming Track - Base Model Subtrack.
  • 2023.12:   One paper on AI safety and robustness is accepted in AAAI2024.
  • 2023.12:   One Journal paper on AI safety and robustness is accepted in IJCV2024.
  • 2023.10:   One Journal paper on Fast Adversarial Training is accepted to TIFS2024.

📝 Publications

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  • Context-Aware Robust Fine-Tuning,
    Xiaofeng Mao, Yufeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue and Zhao Li,
    International Journal of Computer Vision (IJCV 2023)
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🎉 Professional Service

Reviewer: CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, IJCAI, IEEE TPAMI, IEEE TIP, IEEE TIFS

🎖 Honors and Awards

📖 Educations

  • 2023.08 - now Nanyang Technological University, Research Fellow.
  • 2018.06 - 2023.07 School of Cyberspace Security, University of Chinese Academy of Sciences, PhD.
  • 2014.09 - 2018.06, School of Information Engineering, China University of Geosciences, Bachelor.

💬 Invited Talks

  • 2022.11, Department of Electronic Engineering,Tsinghua University. | Slide
  • 2022.11, Huawei Shield Lab. | Slide
  • 2022.07, Institute of Information Engineering, University of Chinese Academy of Sciences. | Slide
  • 2022.06, AI Drive. | Slide
  • 2022.06, 机器之心synced. | Slide
  • 2022.03, School of Computer Science, China University of Geosciences. | Slide

💻 Internships

  • 2020.05 - 2022.02, Research Intern, Tencent AI Lab, Tencent, China.
  • 2022.03 - Up to now, Research Intern, Ali Group Security, China.