Papers with fingerprinting methods
Ghost in the Shell: Synonym-Aware Logit Shaping Fingerprint for Copyright Protection of Large Vision-Language Models (2026.findings-acl)
Copied to clipboard
| Challenge: | Existing fingerprinting methods for large vision-language models rely on backdoors to elicit abnormal outputs, but direct distortion of the model’s original outputs compromises modality alignment and degrades multimodal capabilities. |
| Approach: | They propose to embed a robust fingerprint while preserving the original normal outputs of the model. |
| Outcome: | The proposed fingerprint maintains multimodal performance and substantially enhances fingerprint robustness. |
EverTracer: Hunting Stolen Large Language Models via Stealthy and Robust Probabilistic Fingerprint (2025.emnlp-main)
Copied to clipboard
| 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. |
MEraser: An Effective Fingerprint Erasure Approach for Large Language Models (2025.acl-long)
Copied to clipboard
| Challenge: | Large Language Models (LLMs) have raised critical concerns about model ownership and intellectual property protection. |
| Approach: | They propose a method for effectively removing backdoor-based fingerprints from LLMs . they propose deleting backdoor fingerprints using a transferable erasure mechanism . |
| Outcome: | The proposed method removes backdoor-based fingerprints while maintaining model performance. |