INSPECTRE: Privately Estimating the Unseen
Published in ICML, 2018
Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang
Posts by Collection
portfolio
publications
Differentially Private Testing of Identity and Closeness of Discrete Distributions
Published in NeurIPS, 2018
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication
Published in AISTATS, 2019
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Privately Learning Markov Random Fields
Published in ICML, 2020
Huanyu Zhang*, Gautam Kamath, Janardhan Kulkarni, Zhiwei Steven Wu (* the other authors are listed in alphabetical order)
Locally Private Hypothesis Selection
Published in COLT, 2020
Sivakanth Gopi, Gautam Kamath, Janardhan Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang
Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data
Published in ALT, 2021
Di Wang*, Huanyu Zhang*, Marco Gaboardi and Jinhui Xu (* equal contribution)
Differentially Private Assouad, Fano, and Le Cam
Published in ALT, 2021
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Robust Testing and Estimation under Manipulation Attacks
Published in ICML, 2021
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Robust Estimation for Random Graphs
Published in COLT, 2022
Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
Published in ICML, 2022
Gautam Kamath, Xingtu Liu, Huanyu Zhang
Federated Linear Contextual Bandits with User-level Differential Privacy
Published in ICML, 2023
Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang
DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework
Published in NeurIPS, 2023
Hua Wang, Sheng Gao, Huanyu Zhang, Weijie J Su, Milan Shen
talks
Privately Learning Markov Random Fields
Published:
teaching
Machine Learning and Pattern Recognition (ECE 4950)
Prof. Jayadev Acharya, Cornell University, 2018
Data Science for Engineers (ECE 2720)
Prof. Aaron Wagner, Cornell University, 2018