69 citations · 116 across the 31 of their papers we have counts for
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cs.LG2024
Locally Private Sampling with Public Data
Behnoosh Zamanlooy, Mario Diaz, Shahab Asoodeh
Local differential privacy (LDP) is increasingly employed in privacy-preserving machine learning to protect user data before sharing it with an untrusted aggregator. Most LDP metho…
cs.LG2024★ 1 cited
Exactly Minimax-Optimal Locally Differentially Private Sampling
Hyun-Young Park, Shahab Asoodeh, Si-Hyeon Lee
The sampling problem under local differential privacy has recently been studied with potential applications to generative models, but a fundamental analysis of its privacy-utility…
cs.LG2024
Differentially Private Fair Binary Classifications
Hrad Ghoukasian, Shahab Asoodeh
In this work, we investigate binary classification under the constraints of both differential privacy and fairness. We first propose an algorithm based on the decoupling technique…