Qi Pang (庞淇)


I'm a PhD student in the Computer Science Department at Carnegie Mellon University, advised by Prof. Wenting Zheng and Prof. Virginia Smith. My research focuses on privacy-preserving machine learning. I'm broadly interested in applied cryptography, differential privacy, and federated learning.

I obtained my MPhil degree in Computer Science & Engineering from HKUST in 2022 and bachelor degree in Electronic Information Engineering from Zhejiang University in 2020. I was a member of ACEE, Chu Kochen College.

Email: qipang [at] cmu.edu





Publications (Full list)
  • Communication Bounds for the Distributed Experts Problem. [Paper] [Code]
    Zhihao Jia, Qi Pang, Trung Tran, David Woodruff, Zhihao Zhang, Wenting Zheng. (alphabetical order)
    NeurIPS 24, to appear.

  • No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices. [Paper] [Code]
    Qi Pang, Shengyuan Hu, Wenting Zheng, Virginia Smith.
    NeurIPS 24, to appear.

  • BOLT: Privacy-Preserving, Accurate and Efficient Inference for Transformers. [Paper] [Code]
    Qi Pang, Jinhao Zhu, Helen Möllering, Wenting Zheng, Thomas Schneider.
    IEEE S&P 24.

  • MPCDiff: Testing and Repairing MPC-Hardened Deep Learning Models. [Paper] [Code]
    Qi Pang, Yuanyuan Yuan, Shuai Wang.
    NDSS 24.

  • Secure Federated Correlation Test and Entropy Estimation. [Paper] [Code]
    Qi Pang*, Lun Wang*, Shuai Wang, Wenting Zheng, Dawn Song.
    ICML 23.

  • ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems. [Paper] [Extended version]
    Qi Pang, Yuanyuan Yuan, Shuai Wang, Wenting Zheng.
    IEEE S&P 23.

  • Byzantine-Robust Federated Learning with Optimal Rates and Privacy Guarantee. [Paper] [Code]
    Banghua Zhu*, Lun Wang*, Qi Pang*, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan.
    AISTATS 23.

Research Experience

Academic Service
  • Teaching Assistant. COMP3632: Principles of Cybersecurity (HKUST), Spring 2021, Fall 2021.

  • Reviewer. ICML 21-24; NeurIPS 21-24.