Diffusion models have become the dominant family of generative models in the visual domain. However, their widespread public availability enables misuse at scale, motivating a rapidly growing body of research on adversarial attacks and defenses. This survey provides, to our knowledge, the first unified review of this l...
Ozgur Kara, Tarik Can Ozden, Furkan Horoz et al.· 0 citations
Opt2VLA is presented, a force-aware VLA framework that introduces explicit force commands at the VLA-to-control interface for humanoid whole-body manipulation and shows that explicit force conditioning enables more accurate and consistent force regulation than motion-only control, while physically grounded torque super...
Fu-Kang Liu, Yipu Chen, Jaehwi Jang et al.· 0 citations
This work proposes Function-Space Diffusion for Motion Planning (FSD-MP), a diffusion-based motion planner that models trajectories as continuous functions and performs diffusion directly in function space, achieving discretization-invariant trajectory generation.
Zinuo Chang, Yipu Chen, Byoungwoo Park et al.· 0 citations
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