Adv-TGD is a text-guided diffusion attack that achieves 85.9% black-box ASR on four face recognition models while preserving PSNR 28.18 dB and SSIM 0.981.
Nicolas Pinto, Zak Stone, Todd Zickler, and David Cox
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Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation Attacks
Adv-TGD is a text-guided diffusion attack that achieves 85.9% black-box ASR on four face recognition models while preserving PSNR 28.18 dB and SSIM 0.981.