Artikel dengan mandat akses publik - Ziteng SunPelajari lebih lanjut
Tidak tersedia di mana pun: 1
Optimal byzantine attack and byzantine identification in distributed sensor networks
Z Sun, C Zhang, P Fan
2016 IEEE Globecom Workshops (GC Wkshps), 1-6, 2016
Mandat: National Natural Science Foundation of China
Tersedia di suatu tempat: 17
Differentially private testing of identity and closeness of discrete distributions
J Acharya, Z Sun, H Zhang
Advances in Neural Information Processing Systems 31, 2018
Mandat: US National Science Foundation
Differentially private assouad, fano, and le cam
J Acharya, Z Sun, H Zhang
Algorithmic Learning Theory, 48-78, 2021
Mandat: US National Science Foundation
Communication complexity in locally private distribution estimation and heavy hitters
J Acharya, Z Sun
International Conference on Machine Learning, 51-60, 2019
Mandat: US National Science Foundation
Interactive inference under information constraints
J Acharya, CL Canonne, Y Liu, Z Sun, H Tyagi
IEEE Transactions on Information Theory 68 (1), 502-516, 2021
Mandat: US National Science Foundation
Inference under information constraints III: Local privacy constraints
J Acharya, CL Canonne, C Freitag, Z Sun, H Tyagi
IEEE Journal on Selected Areas in Information Theory 2 (1), 253-267, 2021
Mandat: US National Science Foundation
Context aware local differential privacy
J Acharya, K Bonawitz, P Kairouz, D Ramage, Z Sun
International Conference on Machine Learning, 52-62, 2020
Mandat: US National Science Foundation
Social distancing has merely stabilized COVID-19 in the US
AB Wagner, EL Hill, SE Ryan, Z Sun, G Deng, S Bhadane, VH Martinez, ...
Stat, 2020
Mandat: US National Science Foundation, US Department of Defense, US National …
Discrete distribution estimation under user-level local differential privacy
J Acharya, Y Liu, Z Sun
International Conference on Artificial Intelligence and Statistics, 8561-8585, 2023
Mandat: US National Science Foundation
Inspectre: Privately estimating the unseen
J Acharya, G Kamath, Z Sun, H Zhang
International Conference on Machine Learning, 30-39, 2018
Mandat: US National Science Foundation, US Department of Defense
Estimating sparse discrete distributions under privacy and communication constraints
J Acharya, P Kairouz, Y Liu, Z Sun
Algorithmic Learning Theory, 79-98, 2021
Mandat: US National Science Foundation
The role of interactivity in structured estimation
J Acharya, CL Canonne, Z Sun, H Tyagi
Conference on Learning Theory, 1328-1355, 2022
Mandat: US National Science Foundation
Estimating entropy of distributions in constant space
J Acharya, S Bhadane, P Indyk, Z Sun
Advances in Neural Information Processing Systems 32, 2019
Mandat: US National Science Foundation
User-level private stochastic convex optimization with optimal rates
R Bassily, Z Sun
International Conference on Machine Learning, 1838-1851, 2023
Mandat: US National Science Foundation
Distributed estimation with multiple samples per user: Sharp rates and phase transition
J Acharya, C Canonne, Y Liu, Z Sun, H Tyagi
Advances in neural information processing systems 34, 18920-18931, 2021
Mandat: US National Science Foundation, US Department of Agriculture
Robust testing and estimation under manipulation attacks
J Acharya, Z Sun, H Zhang
International Conference on Machine Learning, 43-53, 2021
Mandat: US National Science Foundation
Sample complexity of distinguishing cause from effect
J Acharya, S Bhadane, A Bhattacharyya, S Kandasamy, Z Sun
International Conference on Artificial Intelligence and Statistics, 10487-10504, 2023
Mandat: US National Science Foundation
Concentration bounds for discrete distribution estimation in KL divergence
CL Canonne, Z Sun, AT Suresh
2023 IEEE International Symposium on Information Theory (ISIT), 2093-2098, 2023
Mandat: Australian Research Council
Informasi terbitan dan pendanaan ditentukan secara otomatis oleh program komputer