Papers with Unlearning-based Multimodal Memorization Fingerprint
UMMF: Protecting Copyright of Large Vision-Language Models through Unlearning-based Multimodal Memorization Fingerprint (2026.acl-long)
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| Challenge: | Existing methods for fingerprinting large vision-Language Models rely on explicit triggers, which have limitations in terms of stealthiness and robustness. |
| Approach: | They propose to use model fingerprints to verify the ownership of large vision-Language Models (LVLMs) they use implicit model fingerprinting techniques that leverage neighboring samples as implicit model . |
| Outcome: | The proposed fingerprinting technique is superior to existing methods, but has limitations in terms of stealthiness and robustness. |