Papers with EverTracer

1 papers
EverTracer: Hunting Stolen Large Language Models via Stealthy and Robust Probabilistic Fingerprint (2025.emnlp-main)

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Challenge: Existing fingerprinting methods require impractical white-box access or introduce detectable statistical anomalies.
Approach: They propose a gray-box fingerprinting framework that ensures stealthy and robust model provenance tracing.
Outcome: The proposed framework is the first to repurpose Membership Inference Attacks (MIAs) for defensive use, embedding ownership signals via memorization instead of artificial trigger-output overfitting.

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