adversarial attacks 1attention disruption 1diffusion transformer 1image-to-video generation 1proactive defense 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
I2VShield: An Efficient Proactive Defense Framework against DiT-based Image-to-Video Models
Yimao Guo, Zuomin Qu, Wei Lu
The paper introduces I2VShield, a lightweight proactive defense that generates text‑adaptive perturbations and uses a multimodal attention disruption attack to protect images from…
cs.CV2025
LoRA Patching: Exposing the Fragility of Proactive Defenses against Deepfakes
Zuomin Qu, Yimao Guo, Qianyue Hu +1
Deepfakes pose significant societal risks, motivating the development of proactive defenses that embed adversarial perturbations in facial images to prevent manipulation. However,…
cs.CV2025
Anti-Inpainting: A Proactive Defense Approach against Malicious Diffusion-based Inpainters under Unknown Conditions
Yimao Guo, Zuomin Qu, Wei Lu +1
With the increasing prevalence of diffusion-based malicious image manipulation, existing proactive defense methods struggle to safeguard images against tampering under unknown cond…