| Distributed differential privacy via shuffling A Cheu, A Smith, J Ullman, D Zeber, M Zhilyaev Advances in Cryptology–EUROCRYPT 2019: 38th Annual International Conference …, 2019 | 442 | 2019 |
| Manipulation attacks in local differential privacy A Cheu, A Smith, J Ullman 2021 IEEE Symposium on Security and Privacy (SP), 883-900, 2021 | 110 | 2021 |
| Separating Local & Shuffled Differential Privacy via Histograms Balcer,Victor, A Cheu 1st Conference on Information-Theoretic Cryptography, {ITC} 2020 163, 1:1--1:14, 2020 | 81* | 2020 |
| Private query release assisted by public data R Bassily, A Cheu, S Moran, A Nikolov, J Ullman, S Wu International Conference on Machine Learning, 695-703, 2020 | 66 | 2020 |
| Connecting robust shuffle privacy and pan-privacy V Balcer, A Cheu, M Joseph, J Mao Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA …, 2021 | 50 | 2021 |
| Differential privacy in the shuffle model: A survey of separations A Cheu arXiv preprint arXiv:2107.11839, 2021 | 45 | 2021 |
| Shuffle private stochastic convex optimization A Cheu, M Joseph, J Mao, B Peng arXiv preprint arXiv:2106.09805, 2021 | 29 | 2021 |
| Differentially private histograms in the shuffle model from fake users A Cheu, M Zhilyaev 2022 IEEE Symposium on Security and Privacy (SP), 440-457, 2022 | 28 | 2022 |
| The limits of pan privacy and shuffle privacy for learning and estimation A Cheu, J Ullman Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021 | 26 | 2021 |
| Pure differential privacy from secure intermediaries A Cheu, C Yan arXiv preprint arXiv:2112.10032, 2021 | 10 | 2021 |
| Necessary conditions in multi-server differential privacy A Cheu, C Yan arXiv preprint arXiv:2208.08540, 2022 | 7 | 2022 |
| Confidential federated computations H Eichner, D Ramage, K Bonawitz, D Huba, T Santoro, B McLarnon, ... arXiv preprint arXiv:2404.10764, 2024 | 4 | 2024 |
| Differential privacy in the shuffle model A Cheu Northeastern University, 2021 | 4 | 2021 |
| Skyline identification in multi-arm bandits A Cheu, R Sundaram, J Ullman 2018 IEEE International Symposium on Information Theory (ISIT), 1006-1010, 2018 | 2 | 2018 |
| Hash-Prune-Invert: Improved Differentially Private Heavy-Hitter Detection in the Two-Server Model B Balle, J Bell, A Cheu, A Gascon, J Katz, M Raykova, P Schoppmann, ... Cryptology ePrint Archive, 2024 | 1 | 2024 |
| PRIME: Differentially Private Distributed Mean Estimation with Malicious Security L Bangalore, A Cheu, M Venkitasubramaniam Cryptology ePrint Archive, 2024 | 1 | 2024 |
| Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data? M Swanberg, R McKenna, E Roth, A Cheu, P Kairouz arXiv preprint arXiv:2502.06555, 2025 | | 2025 |
| Differentially Private Multi-Sampling from Distributions A Cheu, D Nayak arXiv preprint arXiv:2412.10512, 2024 | | 2024 |
| Mayfly: Private Aggregate Insights from Ephemeral Streams of On-Device User Data C Bian, A Cheu, S Chiknavaryan, Z Gong, M Gruteser, O Guinan, ... arXiv preprint arXiv:2412.07962, 2024 | | 2024 |
| Releasing Large-Scale Human Mobility Histograms with Differential Privacy C Bian, A Cheu, Y Guzman, M Gruteser, P Kairouz, R McKenna, E Roth arXiv preprint arXiv:2407.03496, 2024 | | 2024 |
Jonathan UllmanAssociate Professor of Computer Science, Northeastern UniversityZweryfikowany adres z ccs.neu.edu
