Publications

• An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions.
  Yingtai Xiao, Guanlin He, Danfeng Zhang, Daniel Kifer
  Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023) [Spotlight]

• Answering Private Linear Queries Adaptively using the Common Mechanism.
  Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer
  Proc. of 49th International Conference on Very Large Data Bases (VLDB 2023)

• Free gap estimates from the exponential mechanism, sparse vector, noisy max and related algorithms.
  Zeyu Ding, Yuxin Wang, Yingtai Xiao, Guanhong Wang, Danfeng Zhang and Daniel Kifer
  The VLDB Journal 2022

• Optimizing Fitness-For-Use of Differentially Private Linear Queries.
  Yingtai Xiao, Zeyu Ding, Yuxin Wang, Danfeng Zhang and Daniel Kifer.
  Proc. of 47th International Conference on Very Large Data Bases (VLDB 2021)

• DPGen: Automated Program Synthesis for Differential Privacy.
  Wang, Yuxin, Zeyu Ding, Yingtai Xiao, Daniel Kifer, and Danfeng Zhang.
  Proc. of ACM Conference on Computer and Communications Security (CCS 2021)

• 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)