Greetings and welcome to my homepage

Biography

I am currently a fourth-year Ph.D. candidate in Computer Science and Technology from Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, advised by Professor Yong Jiang and Professor Shu-Tao Xia. Before that, I received my B.S. degree with honor in Mathematics and Applied Mathematics from Ningbo University (Yangming Innovation Class) in 2018, advised by Professor Lifeng Xi.

I was a research intern at Ant Security Lab (2021, 2022), working with Dr. Feng Xue and Dr. Tao Wei; a research intern at Tencent AI Lab (2020, 2019), working with Dr. Baoyuan Wu and Dr. Zhifeng Li (supported by the Tencent Rhino-bird Elite Training Program); an intern at Wukong Investment Management Company (2018), working on ML-based high-frequency trading.

I studied machine learning algorithms (especially tree-based ones) for their good interpretability and theoretical properties at the beginning of my post-graduate journey. Currently, my research mainly focuses on AI security, especially backdoor learning, adversarial learning, and data privacy. My research is supported by the Tsinghua ‘Future Scholar’ Ph.D. Fellowship, and my Ph.D. dissertation topic is ‘Poisoning-based Backdoor Attacks in Computer Vision’.

I will graduate in June 2023 (expected). Currently, I am looking for both academic and industrial job opportunities (especially post-doc positions regarding AI security) starting from Summer 2023. Feel free to connect if there are suitable opportunities!

News

  • 04/2022: One patent is granted.
  • 01/2022: Two papers are accepted by the ICLR 2022. Their codes, posters, slides, and videos have been released.
  • 12/2021: I will visit the Secure Learning Lab at UIUC, working with Professor Bo Li (start from 2022).
  • 12/2021: One paper is accepted by the AAAI 2022. Its codes, poster, slides, and video have been released.
  • 11/2021: One paper is accepted by the Pattern Recognition. Its codes have been released.

Useful Resources

BackdoorBox: A Python Toolbox for Backdoor Attacks and Defenses

Github Repo about Backdoor Learning Resources

Technical Report about the ATT&CK Matrix of AI Security