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arXiv· arXiv:2605.00625· Siyi Wang, Qiyao Luo, Yihua Hu, Lixu Wang, Quanqing Xu, Chuanhui Yang, Zhan Qin, Kui Ren, Wei Dong·Indexed by this site · Originally published

Defenses against poisoning attacks under Shuffle-DP

Defense against Poisoning Attacks under Shuffle-DP

AI summary

The researchers propose the first general defense framework against poisoning attacks on Shuffle-DP for all retained union queries, which can convert any Shuffle-DP protocol into a poisoning-resistant version. The framework maintains asymptotically equivalent error when there is no attack, and the error increases only by a polylogarithmic factor when a constant number of attackers exist. Experiments on sum, frequency estimation and range counting queries show that it effectively defends against poisoning while maintaining utility and communication efficiency.

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