4 papers
StyleAT: Defending Face Recognition Against Semantic Attacks
Ben Shapira, Roi Cohen, Shang-Tse Chen +1
With face-recognition models now embedded in everyday authentication and surveillance, recent works have pinpointed a critical weakness: these models remain acutely vulnerable to a…
NoisePrints: Distortion-Free Watermarks for Authorship in Private Diffusion Models
Nir Goren, Oren Katzir, Abhinav Nakarmi +3
With the rapid adoption of diffusion models for visual content generation, proving authorship and protecting copyright have become critical. This challenge is particularly importan…
Sy-FAR: Symmetry-based Fair Adversarial Robustness
Haneen Najjar, Eyal Ronen, Mahmood Sharif
Security-critical machine-learning (ML) systems, such as face-recognition systems, are susceptible to adversarial examples, including real-world physically realizable attacks. Vari…
Reconstructing Template-Memorized Images from Natural Prompts
Sol Yarkoni, Mahmood Sharif, Roi Livni
Recent advances in generative models, such as diffusion models, have raised concerns related to privacy, copyright infringement, and data stewardship. To better understand and cont…