2 papers
cs.CR2026
Continual Learning With Participation Privacy: An Auditable Buffering-Aggregation Recipe
T-H. Hubert Chan, Elaine Shi, Mengshi Zhao +1
Modern federated and streaming learning systems often release intermediate models, so privacy must hold for the full trajectory under adaptive interaction. Motivated by participati…
cs.CR2024
Almost Instance-optimal Clipping for Summation Problems in the Shuffle Model of Differential Privacy
Wei Dong, Qiyao Luo, Giulia Fanti +2
Differentially private mechanisms achieving worst-case optimal error bounds (e.g., the classical Laplace mechanism) are well-studied in the literature. However, when typical data a…