"privacy amplification" Papers

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Differentially Private Relational Learning with Entity-level Privacy Guarantees

Yinan Huang, Haoteng Yin, Eli Chien et al.

NEURIPS 2025arXiv:2506.08347

Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy

Xiang Li, Chendi Wang, Buxin Su et al.

NEURIPS 2025spotlight
1
citations

Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML

Ryan McKenna

ICLR 2025

A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility

Chen E, Yang Cao, Ge Yifei

AAAI 2024paperarXiv:2312.14388
12
citations

Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions

T-H. Hubert Chan, Hao Xie, Mengshi ZHAO

AAAI 2024paperarXiv:2312.08685
1
citations

Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas

Clément Pierquin, Aurélien Bellet, Marc Tommasi et al.

ICML 2024

Shifted Interpolation for Differential Privacy

Jinho Bok, Weijie Su, Jason Altschuler

ICML 2024arXiv:2403.00278
11
citations