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.
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