guest@yingtai:~$ ls publications/

Publications

Publications in differential privacy, program synthesis, and machine learning.

Google Scholar
  1. NeurIPS
    An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions
    Yingtai Xiao, Guanlin He, Danfeng Zhang, Daniel Kifer
    Conference on Neural Information Processing Systems (NeurIPS 2023) Spotlight
  2. VLDB
    Answering Private Linear Queries Adaptively using the Common Mechanism
    Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer
    Proc. of the 49th International Conference on Very Large Data Bases (VLDB 2023)
  3. VLDBJ
    Free Gap Estimates from the Exponential Mechanism, Sparse Vector, Noisy Max and Related Algorithms
    Zeyu Ding, Yuxin Wang, Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer
    The VLDB Journal, 2022
  4. VLDB
    Optimizing Fitness-For-Use of Differentially Private Linear Queries
    Yingtai Xiao, Zeyu Ding, Yuxin Wang, Danfeng Zhang, Daniel Kifer
    Proc. of the 47th International Conference on Very Large Data Bases (VLDB 2021)
  5. CCS
    DPGen: Automated Program Synthesis for Differential Privacy
    Yuxin Wang, Zeyu Ding, Yingtai Xiao, Daniel Kifer, Danfeng Zhang
    Proc. of the ACM Conference on Computer and Communications Security (CCS 2021)
  6. AAAI
    Diversified Interactive Recommendation with Implicit Feedback
    Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang, Binqiang Zhao, Haihong Tang
    The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)