Terrance Liu
Scholar

Terrance Liu

Google Scholar ID: GZGiPoEAAAAJ
Carnegie Mellon University
Machine LearningDifferential PrivacyUncertainty Quantification
Citations & Impact
All-time
Citations
1,208
 
H-index
8
 
i10-index
8
 
Publications
19
 
Co-authors
23
list available
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