Terrance Liu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Iterative Methods

Statistical Disclosure Control

Hierarchical Structure

Privacy Preserving

Top Venues

Publications

Terrance Liu, Zhiwei Steven Wu
Multi-group Uncertainty Quantification for Long-form Text Generation. CoRR (2024)
Terrance Liu, Jingwu Tang, Giuseppe Vietri, Steven Wu
Generating Private Synthetic Data with Genetic Algorithms. ICML (2023)
Terrance Liu, Jingwu Tang, Giuseppe Vietri, Zhiwei Steven Wu
Generating Private Synthetic Data with Genetic Algorithms. CoRR (2023)
Terrance Liu, Zhiwei Steven Wu
Private Synthetic Data with Hierarchical Structure. CoRR (2022)
Travis Dick, Cynthia Dwork, Michael Kearns, Terrance Liu, Aaron Roth, Giuseppe Vietri, Zhiwei Steven Wu
Confidence-Ranked Reconstruction of Census Microdata from Published Statistics. CoRR (2022)
Paul Pu Liang, Terrance Liu, Anna Cai, Michal Muszynski, Ryo Ishii, Nicholas Allen, Randy Auerbach, David Brent, Ruslan Salakhutdinov, Louis-Philippe Morency
Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data. ACL/IJCNLP (1) (2021)
Terrance Liu, Giuseppe Vietri, Thomas Steinke, Jonathan R. Ullman, Zhiwei Steven Wu
Leveraging Public Data for Practical Private Query Release. CoRR (2021)
Terrance Liu, Giuseppe Vietri, Steven Wu
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods. NeurIPS (2021)
Paul Pu Liang, Terrance Liu, Anna Cai, Michal Muszynski, Ryo Ishii, Nicholas Allen, Randy Auerbach, David Brent, Ruslan Salakhutdinov, Louis-Philippe Morency
Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data. CoRR (2021)
Terrance Liu, Giuseppe Vietri, Thomas Steinke, Jonathan R. Ullman, Zhiwei Steven Wu
Leveraging Public Data for Practical Private Query Release. ICML (2021)
Terrance Liu, Giuseppe Vietri, Zhiwei Steven Wu
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods. CoRR (2021)
Paul Pu Liang, Terrance Liu, Ziyin Liu, Ruslan Salakhutdinov, Louis-Philippe Morency
Think Locally, Act Globally: Federated Learning with Local and Global Representations. CoRR (2020)
Terrance Liu, Paul Pu Liang, Michal Muszynski, Ryo Ishii, David Brent, Randy Auerbach, Nicholas Allen, Louis-Philippe Morency
Multimodal Privacy-preserving Mood Prediction from Mobile Data: A Preliminary Study. CoRR (2020)