3 accepted papers
Unrestricted adversarial attacks based on generative models typically operate either directly in image space or through diffusion-style denoising and re-noising, which limits transferability and robustness against defenses. We revisit this problem through the lens of flow matching and continuous-tim
Adversarial attacks have achieved widespread success in various domains, yet existing methods suffer from significant performance degradation when adversarial examples are subjected to even minor disturbances. In this paper, we propose a novel and robust attack called IGSA (**I**nverse **G**radient…
The 3D visual grounding task aims to establish correspondences between the 3D physical world and textual descriptions. Despite significant progress having been made, it still suffers from some challenges that need to be solved. a) Scene-agnostic text reasoning causes misaligned target region concent