I am a PhD student majoring in computer science at the School of Computing, National University of Singapore. I am fortunate to be advised by professor Reza Shokri. I’m interested in trustworthy Machine Learning, with more focus on privacy-preserving machine learning currently. Here is my CV (until Mar 10, 2023).

Before that, I received my B.S. degree in computational mathematics at University of Science and Technology of China, where I had a memorable time.

Publications and Preprints

  • Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning [Paper] [Code]
    Zebang Shen, Jiayuan Ye, Anmin Kang, Hamed Hassani, Reza Shokri
    In International Conference on Learning Representations (ICLR) 2023

  • Differentially Private Learning Needs Hidden State (Or Much Faster Convergence) [Paper] [Poster] [Talk]
    Jiayuan Ye, Reza Shokri
    In Advances in Neural Information Processing Systems (NeurIPS) 2022
    Also Presented at the Symposium on Foundations of Responsible Computing (FORC) 2022

  • Enhanced Membership Inference Attacks against Machine Learning Models [Paper] [Slides] [Code]
    Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Vincent Bindschaedler, Reza Shokri
    In the ACM Conference on Computer and Communications Security (CCS) 2022

  • Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent [Paper] [Talk] [Slides] [Poster]
    Rishav Chourasia*, Jiayuan Ye*, Reza Shokri (* denotes equal contribution)
    In Advances in Neural Information Processing Systems (NeurIPS) 2021 (accepted as spotlight, among 3% of submissions)

Professional Experiences

  • Reviewer for: AISTATS 2023, ICLR 2023, NeurIPS 2022, JMLR
  • Sub-reviewer for: IEEE S&P 2020, 2021, 2022; ACM CCS 2021, 2022