Yiming Li

Yiming Li

Ph.D. Candidate, THU

Welcome to my homepage

Biography

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

My research mainly focuses on AI security, especially backdoor learning, adversarial learning, and data privacy.

Github Repo about Backdoor Learning Resources

The ATT&CK Matrix of AI Security (The first technical report comprehensively covering different kinds of security threats in the full cycle of AI systems.)

News

  • 09/2021: One paper is accepted by Pattern Recognition.
  • 08/2021: I am invited as the Senior PC Member of AAAI 2022.
  • 07/2021: One paper is accepted by the ICCV 2021.
  • 07/2021: So glad that our paper ‘Defending against Model Stealing via Verifying Embedded External Features’ is awarded the Best Paper of Adversarial for Good Award by the ICML AdvML Workshop, 2021.
  • 07/2021: I am invited as the PC Member of IJCAI and ICLR 2022.

Publications and Preprints

'*' indicates equal contribution

Backdoor Learning

Adversarial Learning and Robust Machine Learning

Data Privacy

Other Topics

Technical Reports and Patents

  • Tencent AI Lab (Baoyuan Wu, Yanbo Fan, Yong Zhang, Yiming Li, Zhifeng Li, Wei Liu), Tencent Zhuque Lab (viking, jifengzhu, allenszch, ucasjh, dylan, xunsu). The ATT&CK Matrix of AI Security, 2020/09/18. [Download] [Website][Media1] [Media2] [Media3] [Media4] [Media5] [Media6]…

  • 李一鸣, 吴保元, 张勇, 樊艳波, 李志锋, 刘威, 冯岩, 江勇, 夏树涛. 一种图像识别模型的训练方法、图像识别的方法及装置. (发明专利, 申请号: CN202010182180.5, HKS202989-CN)

  • 李一鸣, 吴保元, 江勇, 李志锋, 夏树涛, 刘威. 图像分类模型后门攻击的防御方法、装置、设备及介质. (发明专利, 申请号: CN202011122124.9)

Invited Talks

  • A Brief Introduction of Backdoor Attack, TechBeat (online), 2021/09/29. [Slides]

  • A Brief Introduction of Backdoor Attack in the Low-level Computer Vision, Virginia Tech (online), 2021/08/12. [Slides]

  • Defending against Model Stealing via Verifying Embedded External Features, ICML Workshop (online), 2021/07/24. [Slides]

  • A Brief Introduction of Backdoor Learning, Southwest Jiaotong University, 2021/04/12. [Slides]

  • Backdoor Attack: A New Security Threat towards the Training of DNNs, AI Drive (online), 2021/01/20. [Slides][Video]

  • A Brief Introduction of Backdoor Learning, The Chinese University of Hong Kong, Shenzhen (CUHK-SZ), 2020/12/05. [Slides]

  • How to Improve Model Robustness via Adopting Unlabeled Data, CCF Young Computer Scientists & Engineers Forum, Shenzhen (CCF-YOCSEF-SZ), 2020/08/22. [Slides]

Teaching

  • Spring, 2021. TA in Optimization Theory and Machine Learning, instructed by Prof. Somayeh Sojoudi.

Work Experiences

  • Research Intern, Ant Security Lab, Alibaba Group, June 2021 - Present
    • Supported by the Alibaba Talent Program, working on Backdoor Attack
    • Mentor: Dr. Weifeng Qiu and Dr. Feng Xue
  • Research Intern, Tencent AI Lab, Jul 2019 - Oct 2020
    • Supported by the Tencent Rhino-bird Elite Training Program, working on AI Security
    • Mentor: Dr. Baoyuan Wu and Dr. Zhifeng Li
  • Intern, Department of Vision Technology, OPPO, May 2019 - Jun 2019
    • Supported by the TBSI Capstone Project, working on instance segmentation
    • Mentor: Dr. Haidong Huang

Awards and Honors

  • Adversarial for Good Award of ICML AdvML Workshop (TOP-1), 2021.
  • Best Student Research Award of TBSI Workshop on Data Science (TOP-1), 2019.
  • Top 25% PC Member of AAAI, 2021.
  • Outstanding Undergraduate Thesis Award in Ningbo University (TOP 5%), 2018.
  • First Prize of Chinese Mathematics Competition (TOP 3%), 2016.
  • First Prize of China Undergraduate Mathematical Contest in Modeling (TOP 1%), 2015.
  • Tsinghua ‘Future Scholar’ Ph.D. Scholarship (TOP-2 in TBSI), 2020.
  • Tencent Rhino-bird Elite (TOP 10%), 2021.
  • TBSI Excellence Scholarship (Rank First in our Track, TOP 20%), 2021.
  • TBSI Dean’s Scholarship, 2020/2021.
  • Undergraduate National Scholarship (TOP 1%), 2017.
  • Outstanding Graduate of Zhejiang Province (TOP 1%), 2018.

Services

  • Reviewer: IEEE Transactions on Dependable and Secure Computing (TDSC), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Industrial Informatics (TII), Neurocomputing
  • Senior Program Committee Member: AAAI’22
  • Program Committee Member: NeurIPS, ICML, ICLR, CVPR, AISTATS, AAAI, IJCAI, ICONIP, ISPA
  • Executive Chairman Committee Member, TBSI Workshop on Data Science (TBSI-WODS), 2019
  • Lecturer and Consultant, Academic Servicing Center of Tsinghua University, 2021
  • Secretary of Master’s Thesis Committee, Tsinghua-Berkeley Shenzhen Institute, 2021.