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Huanyu Zhang
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Title
Cited by
Cited by
Year
Hadamard response: Estimating distributions privately, efficiently, and with little communication
J Acharya, Z Sun, H Zhang
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
1702019
Differentially private testing of identity and closeness of discrete distributions
J Acharya, Z Sun, H Zhang
Advances in Neural Information Processing Systems 31, 2018
862018
Differentially private assouad, fano, and le cam
J Acharya, Z Sun, H Zhang
Algorithmic Learning Theory, 48-78, 2021
592021
Improved rates for differentially private stochastic convex optimization with heavy-tailed data
G Kamath, X Liu, H Zhang
International Conference on Machine Learning, 10633-10660, 2022
482022
Estimating smooth glm in non-interactive local differential privacy model with public unlabeled data
D Wang, H Zhang, M Gaboardi, J Xu
Algorithmic Learning Theory, 1207-1213, 2021
332021
Challenges towards the next frontier in privacy
R Cummings, D Desfontaines, D Evans, R Geambasu, M Jagielski, ...
arXiv preprint arXiv:2304.06929 1, 2023
302023
Privately learning Markov random fields
H Zhang, G Kamath, J Kulkarni, S Wu
International conference on machine learning, 11129-11140, 2020
272020
Inspectre: Privately estimating the unseen
J Acharya, G Kamath, Z Sun, H Zhang
International Conference on Machine Learning, 30-39, 2018
262018
Wide network learning with differential privacy
H Zhang, I Mironov, M Hejazinia
arXiv preprint arXiv:2103.01294, 2021
242021
Locally private hypothesis selection
S Gopi, G Kamath, J Kulkarni, A Nikolov, ZS Wu, H Zhang
Conference on Learning Theory, 1785-1816, 2020
242020
Analytical composition of differential privacy via the edgeworth accountant
H Wang, S Gao, H Zhang, M Shen, WJ Su
arXiv preprint arXiv:2206.04236, 2022
202022
Communication efficient, sample optimal, linear time locally private discrete distribution estimation
J Acharya, Z Sun, H Zhang
arXiv preprint arXiv:1802.04705, 2018
182018
Design and implementation of device-to-device software-defined networks
M Zhou, H Zhang, S Zhang, L Song, Y Li, Z Han
2016 IEEE International Conference on Communications (ICC), 1-6, 2016
152016
Federated linear contextual bandits with user-level differential privacy
R Huang, H Zhang, L Melis, M Shen, M Hejazinia, J Yang
International Conference on Machine Learning, 14060-14095, 2023
132023
Robust testing and estimation under manipulation attacks
J Acharya, Z Sun, H Zhang
International Conference on Machine Learning, 43-53, 2021
122021
Robust estimation for random graphs
J Acharya, A Jain, G Kamath, AT Suresh, H Zhang
Conference on Learning Theory, 130-166, 2022
92022
Contraction of locally differentially private mechanisms
S Asoodeh, H Zhang
IEEE Journal on Selected Areas in Information Theory, 2024
82024
Reliability and longer range for low power transmitters with on demand network MIMO
MA Weitnauer, Q Lin, H Zhang, H Tian, S Nowlan, G Nyengele, ...
2016 IEEE International Conference on RFID (RFID), 1-10, 2016
82016
Generalized linear models in non-interactive local differential privacy with public data
D Wang, L Hu, H Zhang, M Gaboardi, J Xu
Journal of Machine Learning Research 24 (132), 1-57, 2023
72023
Advancing differential privacy: Where we are now and future directions for real-world deployment
R Cummings, D Desfontaines, D Evans, R Geambasu, Y Huang, ...
arXiv preprint arXiv:2304.06929, 2023
42023
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