Scholar
Terrance Liu
Google Scholar ID: GZGiPoEAAAAJ
Carnegie Mellon University
Machine Learning
Differential Privacy
Uncertainty Quantification
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Citations & Impact
All-time
Citations
1,208
H-index
8
i10-index
8
Publications
19
Co-authors
23
list available
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GitHub
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Publications
7 items
Optimizing Canaries for Privacy Auditing with Metagradient Descent
2025
Cited
0
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference
2025
Cited
0
Breaking the Gold Standard: Extracting Forgotten Data under Exact Unlearning in Large Language Models
2025
Cited
0
Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies
2025
Cited
0
Generate-then-Verify: Reconstructing Data from Limited Published Statistics
2025
Cited
0
Winning the MIDST Challenge: New Membership Inference Attacks on Diffusion Models for Tabular Data Synthesis
2025
Cited
0
Multi-group Uncertainty Quantification for Long-form Text Generation
arXiv.org · 2024
Cited
7
Resume (English only)
Academic Achievements
Published multiple papers in top venues including NeurIPS, ICML, UAI, EMNLP, IEEE Symposium on Security and Privacy, Science, and PNAS
Research topics include privacy auditing, exact unlearning, synthetic data generation, membership inference attacks, and uncertainty quantification
First or co-first author on numerous papers, collaborating with Zhiwei Steven Wu, Giuseppe Vietri, Louis-Philippe Morency, among others
Winner of all four tracks in the MIDST Challenge at SatML 2025
Received Distinguished Student Paper Award at NeurIPS'19 Workshop on Federated Learning (oral presentation)
Multiple papers accepted at TPDP (Theory and Practice of Differential Privacy), including oral presentations
Co-authors
23 total
Zhiwei Steven Wu
Carnegie Mellon University
Paul Liang
Assistant Professor, Media Lab and EECS, MIT
Nicholas Allen
Ann Swindells Professor of Psychology, University of Oregon
Co-author 4
Co-author 5
Louis-Philippe Morency
Associate professor, Carnegie Mellon University
liu ziyin
MIT, NTT Research
Co-author 8
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