1. S&P
    Eureka: A General Framework for Black-box Differential Privacy Estimators
    Yun Lu , Malik Magdon-Ismail , Yu Wei, and Vassilis Zikas
    In 2024 IEEE Symposium on Security and Privacy (SP) , May 2024
  2. Distributed Differential Privacy via Shuffling Versus Aggregation: A Curious Study
    Yu Wei, Jingyu Jia , Yuduo Wu , Changhui Hu , Changyu Dong , and 4 more authors
    Trans. Info. For. Sec., Jan 2024
  3. arXiv
    The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning
    Yun Lu , Malik Magdon-Ismail , Yu Wei, and Vassilis Zikas
    Jan 2024


  1. ePrint
    Fine-Tuning Ideal Worlds for the Xor of Two Permutation Outputs
    Wonseok Choi , Minki Hhan , Yu Wei, and Vassilis Zikas
    IACR Cryptol. ePrint Arch., Jan 2023


  1. Searchable Symmetric Encryption with Forward Search Privacy
    Jin Li , Yanyu Huang , Yu Wei, Siyi Lv , Zheli Liu , and 2 more authors
    IEEE Trans. Dependable Secur. Comput., Jan 2021
  2. How to Make Private Distributed Cardinality Estimation Practical, and Get Differential Privacy for Free
    Changhui Hu , Jin Li , Zheli Liu , Xiaojie Guo , Yu Wei, and 3 more authors
    In USENIX Security Symposium , Jan 2021