MO4.R3: Differential Privacy in Learning 2
Mon, 8 Jul, 16:25 - 17:45
Location: Ypsilon IV-V-VI
Session Chair: Ayfer Ozgur, Stanford University
Track: 16: Privacy and Fairness
Mon, 8 Jul, 16:25 - 16:45

MO4.R3.1: Optimal Private Discrete Distribution Estimation with One-bit Communication
Seung-Hyun Nam, KAIST, Korea (South); Vincent Y. F. Tan, National University of Singapore, Singapore; Si-Hyeon Lee, KAIST, Korea (South)
Mon, 8 Jul, 16:45 - 17:05

MO4.R3.2: Differentially Private Synthetic Data with Private Density Estimation
Nikolija Bojkovic, University of Belgrade, Serbia; Po-Ling Loh, University of Cambridge, United Kingdom
Mon, 8 Jul, 17:05 - 17:25

MO4.R3.3: Training Generative Models from Privatized Data via Entropic Optimal Transport
Daria Reshetova, Wei-Ning Chen, Ayfer Ozgur, Stanford University, United States
Mon, 8 Jul, 17:25 - 17:45

MO4.R3.4: Differentially Private Fair Binary Classifications
Hrad Ghoukasian, Shahab Asoodeh, McMaster University, Canada