Mintong Kang

About Me

I am Mintong Kang, a second-year Ph.D. student at UIUC CS advised by Prof. Bo Li. My research interest lies in the intersection of machine learning and robustness, fairness, generalization.

Before that, I got the bachelor of engineering degree from the CS department of Zhejiang University. I work with Prof. Xi Li on continual learning at DCD Lab @ Zhejiang University. I also luckily work with Prof. Alan L. Yuille at CCVL Lab @ Johns Hopkins University.

News

• [Sep. 2023] Two papers accepted to NeurIPS 2023.
• [Jun. 2023] Organized KLR workshop at ICML 2023.
• [Nov. 2022] One paper accepted to SaTML 2023.
• [Oct. 2022] Received NeurIPS 2022 Scholar Award.
• [Sep. 2022] Two papers accepted to NeurIPS 2022.

Publications

• DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
  Mintong Kang, Dawn Song, Bo Li
  Thirty-seventh Conference on Neural Information Processing Systems. NeurIPS 2023.
  [PDF] [Code]

• DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
  Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
  Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track. NeurIPS 2023.
  [PDF] [Code]

• Label-Assemble: Leveraging Multiple Datasets with Partial Labels
  Mintong Kang, Yongyi Lu, Alan L. Yuille, Zongwei Zhou
  IEEE International Symposium on Biomedical Imaging 2023. IBSI 2023
  [PDF] [Code] [Slide]

• FaShapley: Fast and Approximated Shapley Based Model Pruning Towards Certifiably Robust DNNs
  Mintong Kang, Linyi Li, Bo Li
  IEEE Conference on Secure and Trustworthy Machine Learning 2023. SaTML 2023.
  [PDF] [Code]

• Certifying Some Distributional Fairness with Subpopulation Decomposition
  Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li
  Thirty-sixth Conference on Neural Information Processing Systems. NeurIPS 2022.
  [PDF] [Code]

• Fairness in Federated Learning via Core-Stability
  Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta
  Thirty-sixth Conference on Neural Information Processing Systems. NeurIPS 2022.
  [PDF] [Code]

• MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
  Hanbin Zhao, Yongjian Fu, Mintong Kang, Qi Tian, Fei Wu, Xi Li
  IEEE Transactions on Pattern Analysis and Machine Intelligence 2021. TPAMI 2021.
  [PDF]

Services

• Conference Reviewers: ICML 2022,2023; NeurIPS 2022,2023; KDD 2023.
• Workshop organizer: KLR@ICML 2023.

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