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Terrance Liu
Terrance Liu
Carnegie Mellon University
在 cs.cmu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Think locally, act globally: Federated learning with local and global representations
PP Liang, T Liu, L Ziyin, NB Allen, RP Auerbach, D Brent, ...
arXiv preprint arXiv:2001.01523, 2020
5192020
Leveraging public data for practical private query release
T Liu, G Vietri, T Steinke, J Ullman, S Wu
International Conference on Machine Learning, 6968-6977, 2021
612021
Iterative methods for private synthetic data: Unifying framework and new methods
T Liu, G Vietri, SZ Wu
Advances in Neural Information Processing Systems 34, 690-702, 2021
542021
Confidence-ranked reconstruction of census microdata from published statistics
T Dick, C Dwork, M Kearns, T Liu, A Roth, G Vietri, ZS Wu
Proceedings of the National Academy of Sciences 120 (8), e2218605120, 2023
242023
Policy impacts of statistical uncertainty and privacy
R Steed, T Liu, ZS Wu, A Acquisti
Science 377 (6609), 928-931, 2022
222022
Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data
PP Liang, T Liu, A Cai, M Muszynski, R Ishii, N Allen, R Auerbach, D Brent, ...
arXiv preprint arXiv:2106.13213, 2021
162021
Multimodal privacy-preserving mood prediction from mobile data: A preliminary study
T Liu, PP Liang, M Muszynski, R Ishii, D Brent, R Auerbach, N Allen, ...
arXiv preprint arXiv:2012.02359, 2020
122020
Generating Private Synthetic Data with Genetic Algorithms
T Liu, J Tang, G Vietri, S Wu
International Conference on Machine Learning, 22009-22027, 2023
112023
Think locally, act globally: Federated learning with local and global representations. arXiv 2020
PP Liang, T Liu, L Ziyin, NB Allen, RP Auerbach, D Brent, ...
arXiv preprint arXiv:2001.01523, 0
9
Think locally, act globally: Federated learning with local and global representations. arXiv
PP Liang, T Liu, L Ziyin, NB Allen, RP Auerbach, D Brent, ...
arXiv preprint arXiv:2001.01523, 2020
82020
Private Synthetic Data with Hierarchical Structure
T Liu, ZS Wu
arXiv preprint arXiv:2206.05942, 2022
32022
Optimizing BLEU Scores for Improving Text Generation
T Liu
32019
Reply to Sanchéz et al.: Multiplicity does not protect privacy
T Dick, C Dwork, M Kearns, T Liu, A Roth, G Vietri, ZS Wu
Proceedings of the National Academy of Sciences 120 (18), e2304263120, 2023
12023
Response to comment on “Policy impacts of statistical uncertainty and privacy”
R Steed, A Acquisti, ZS Wu, T Liu
Science 380 (6648), eadh2297, 2023
2023
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