AI RESEARCH
Immune2V: Image Immunization Against Dual-Stream Image-to-Video Generation
arXiv CS.CV
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ArXi:2604.10837v1 Announce Type: new Image-to-video (I2V) generation has the potential for societal harm because it enables the unauthorized animation of static images to create realistic deepfakes. While existing defenses effectively protect against static image manipulation, extending these to I2V generation remains underexplored and non-trivial. In this paper, we systematically analyze why modern I2V models are highly robust against naive image-level adversarial attacks (i.e., immunization.