DiffMI recovers face identities from embeddings using a diffusion-driven training-free pipeline with latent initialization, ranked adversarial refinement, and confidence-aware optimization, achieving 84-93% success on resilient models.
An- alyzing and improving the image quality of stylegan,
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DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion
DiffMI recovers face identities from embeddings using a diffusion-driven training-free pipeline with latent initialization, ranked adversarial refinement, and confidence-aware optimization, achieving 84-93% success on resilient models.