3 accepted papers
Text-to-image models are commercially valuable assets often distributed under restrictive licenses, but such licenses are enforceable only when violations can be detected. Existing methods require pre-deployment watermarking or internal model access, which are unavailable in commercial API deploymen
Recent advancements in diffusion models have made fine-tuning text-to-image models for personalization increasingly accessible, but have also raised significant concerns regarding unauthorized data usage and privacy infringement. Current protection methods are limited to passively degrading image qu
Deep neural networks are widely used in various computer vision tasks, but their vulnerability to adversarial perturbations remains a significant challenge for reliable decision-making. Adversarial purification, a test-time defense strategy, has shown potential in countering these threats by removin…