4 papers · 1 filter
I2VShield: An Efficient Proactive Defense Framework against DiT-based Image-to-Video Models
Yimao Guo, Zuomin Qu, Wei Lu
The rapid advancement of video generation models has led to the increasing misuse of image-to-video (I2V) models. Although substantial progress has been made in detecting AI-genera…
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,…
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…
ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identification
Zuomin Qu, Wei Lu, Xiangyang Luo +2
The misuse of deep learning-based facial manipulation poses a serious threat to civil rights. To prevent such fraud at its source, proactive defense methods have been proposed that…