First Unified Video Protection Method Against Image-to-Video and Fine-Tuning-Based Customization

Jul 16, 2026

Researchers have introduced TC-UAP, a novel method designed to protect videos from both reference-based (image-to-video) and fine-tuning-based AI customization attacks. TC-UAP addresses unique temporal challenges by optimizing identity-level, multi-frame adversarial perturbations across sliding windows from multiple videos, ensuring robustness and generalization to unseen videos and temporal attacks. Empirical results demonstrate that TC-UAP provides stronger identity protection and resilience compared to existing methods.

Why it matters: As AI-driven video generation models advance, this work provides a significant step toward safeguarding personal privacy and intellectual property in video content, an area previously lacking effective protection methods.

Full story at: arXiv Cryptography and Security ↗