Diffusion-Driven Deceptive Patches: Adversarial Manipulation and Forensic Detection in Facial Identity Verification
扩散驱动的欺骗性补丁:面部身份验证中的对抗操纵与取证检测
专题命中 机器人操作 :manipulation(title);分类 cs.AI、cs.CV
AI总结 本文提出了一种基于扩散模型的对抗性补丁生成与检测方法,通过FGSM和ViT-GPT2模型提升对抗性攻击的隐蔽性与有效性,并实现了高SSIM的检测性能。
Comments This manuscript is a preprint. A revised version of this work has been accepted for publication in the Springer Nature book Artificial Intelligence-Driven Forensics. This version includes one additional figure for completeness