DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework
Accepted by NeurIPS, 2023
Hua Wang, Sheng Gao, Huanyu Zhang, Weijie J Su, Milan Shen
Publications
Unless specified, the papers have alphabetical author order.
Federated Linear Contextual Bandits with User-level Differential Privacy
Accepted by ICML, 2023
Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
Accepted by ICML, 2022
Gautam Kamath, Xingtu Liu, Huanyu Zhang
Long talk at ICML 2022 (117 of 5630).
Robust Estimation for Random Graphs
Accepted by COLT, 2022
Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang
Robust Testing and Estimation under Manipulation Attacks
Accepted by ICML, 2021
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Differentially Private Assouad, Fano, and Le Cam
Accepted by ALT, 2021
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data
Accepted by ALT, 2021
Di Wang*, Huanyu Zhang*, Marco Gaboardi and Jinhui Xu (* equal contribution)
Locally Private Hypothesis Selection
Accepted by COLT, 2020
Sivakanth Gopi, Gautam Kamath, Janardhan Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang
Privately Learning Markov Random Fields
Accepted by ICML, 2020
Huanyu Zhang*, Gautam Kamath, Janardhan Kulkarni, Zhiwei Steven Wu (* the other authors are listed in alphabetical order)
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication
Accepted by AISTATS, 2019
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Differentially Private Testing of Identity and Closeness of Discrete Distributions
Accepted by NeurIPS, 2018
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Spotlight Presentation at NeurIPS 2018 (4% of all submissions).
INSPECTRE: Privately Estimating the Unseen
Accepted by ICML, 2018
Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang