3 papers
cs.IT2026
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…
cs.IT2025
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…
cs.IT2025
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 $…