Diffusion Attack: Leveraging Stable Diffusion for Naturalistic Image Attacking

arXiv:2403.14778v1 Announce Type: new
Abstract: In Virtual Reality (VR), adversarial attack remains a significant security threat. Most deep learning-based methods for physical and digital adversarial attacks focus on enhancing attack performance by crafting adversarial examples that contain large printable distortions that are easy for human observers to identify. However, attackers rarely impose limitations on the naturalness and comfort of the appearance of the generated attack image, resulting in a noticeable and unnatural attack. To address this challenge, we propose a …

abstract adversarial adversarial attacks adversarial examples arxiv attacks cs.cv deep learning diffusion digital easy eess.iv examples focus however human identify image performance reality security stable diffusion threat type virtual virtual reality