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.
Uncovering bias in face generation models
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CraftGraffiti applies LoRA-tuned diffusion transformers followed by identity-augmented self-attention and CLIP-guided pose extension to generate graffiti while preserving facial features.
citing papers explorer
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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.
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CraftGraffiti: Exploring Human Identity with Custom Graffiti Art via Facial-Preserving Diffusion Models
CraftGraffiti applies LoRA-tuned diffusion transformers followed by identity-augmented self-attention and CLIP-guided pose extension to generate graffiti while preserving facial features.