"privacy amplification" Papers
7 papers found
Conference
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