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Preprint Aug 2026

Tracing Provenance and Detecting Tampering with Complementary LLM Watermarks

Watermarking LLM-generated text is an important task for tracing its provenance. Existing LLM watermarks preserve provenance under editing, but this same robustness allows an adversary to alter critical content while retaining attribution, a vulnerability known as piggyback spoofing. We introduce an innovative watermar...

Xiao-Yang Feng, Yanjun Zhang, He Zhang et al. · 0 citations
Open access Sep 2026

Privacy-Preserving and Fair Training for Federated GNN

SaFeGNN is proposed, a Secure and Fair Federated Graph Neural Network framework that jointly enforces privacy protection and fairness guarantees and secures the communication process via additive secret sharing and client-level differential privacy, achieving stronger security guarantees compared to existing solutions.

Jia-Qiang Chen, He Zhang, Xiao-Ning Liu et al. · 0 citations

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