GAIR Paper 111 | 谁动了我的大模型？IJCAI 2026最新综述揭秘大模型“隐式身份”防伪战

TL;DR - An IJCAI 2026 survey unifies LLM fingerprinting and watermarking under an “implicit identity” framework for protecting datasets, models, and generated content. It supports ownership verification, misuse detection, and provenance tracing.

• Fingerprints extract intrinsic signals; watermarks deliberately embed verifiable signals.
• The taxonomy spans datasets, models, and generated text, using similarity-based attribution or key-based verification.
• Evaluation covers claim correctness, benign-transformation robustness, adaptive attacks, and deployment cost.
• Key challenges include preserving model utility, surviving model or content transformations, and reducing verification overhead.