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#machine learning Preprint Sep 2026

Trust-But-Verify: Poisoning-Resilient Locally Private Graph Learning Protocols

VERITAS is proposed, a poisoning-resilient locally private graph learning protocol built on a trust-but-verify paradigm that effectively defends against data poisoning attacks and significantly improves downstream graph learning utility under rigorous privacy guarantees.

Long-Zhu He, Li Sun, Hao Peng et al. · 0 citations

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