6 citations · 11 across the 5 of their papers we have counts for
3 papers · 1 filter
Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation
Sajani Vithana, Sangwon Jung, Haoyang Hu +3
Differential privacy (DP) imposes fundamental trade-offs between privacy and statistical fidelity in synthetic data generation. While access to public data has been shown to improv…
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation
Sajani Vithana, Viveck R. Cadambe, Flavio P. Calmon +1
Differentially private distributed mean estimation (DP-DME) is a fundamental building block in privacy-preserving federated learning, where a central server estimates the mean of $…
Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise
Viveck R. Cadambe, Ateet Devulapalli, Haewon Jeong +1
We consider the problem of private distributed multi-party multiplication. It is well-established that Shamir secret-sharing coding strategies can enable perfect information-theore…