NDSS 2025 – On the Robustness Of LDP Protocols For Numerical Attributes Under Data Poisoning Attacks
ID: f510609b-efee-5977-9253-5027aec6b6d9
STIX ID: report--f510609b-efee-5977-9253-5027aec6b6d9
Feed Name: Security Boulevard
A research paper from an NDSS 2025 session examines the robustness of local differential privacy protocols for numerical attributes under data poisoning attacks, finding that Square Wave and server-side CFO-based protocols are more resilient than user-side CFO variants, and that hash domain size significantly affects robustness beyond utility. The authors introduce cross-protocol attack gain metrics and propose a zero-shot detection technique leveraging reconstructed distributions, demonstrating improved detection of adversarial manipulation.
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