2 papers
cs.IT2026
Optimality of Staircase Mechanisms for Vector Queries under Differential Privacy
James Melbourne, Mario Diaz, Shahab Asoodeh
We study the optimal design of additive mechanisms for vector-valued queries under -differential privacy (DP). Given only the sensitivity of a query and a norm-monotone cost fun…
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…