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Terrance Liu
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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
6792020
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
692021
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
662021
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
332023
Policy impacts of statistical uncertainty and privacy
R Steed, T Liu, ZS Wu, A Acquisti
Science 377 (6609), 928-931, 2022
332022
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
202021
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
142020
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
13
Generating Private Synthetic Data with Genetic Algorithms
T Liu, J Tang, G Vietri, S Wu
International Conference on Machine Learning, 22009-22027, 2023
122023
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
102020
Optimizing BLEU Scores for Improving Text Generation
T Liu
52019
Multi-group Uncertainty Quantification for Long-form Text Generation
T Liu, ZS Wu
arXiv preprint arXiv:2407.21057, 2024
22024
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
22023
Private Synthetic Data with Hierarchical Structure
T Liu, ZS Wu
arXiv preprint arXiv:2206.05942, 2022
22022
Response to comment on “Policy impacts of statistical uncertainty and privacy”
R Steed, A Acquisti, ZS Wu, T Liu
Science 380 (6648), eadh2297, 2023
12023
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