3 papers
cs.CV2025
Model-agnostic Adversarial Attack and Defense for Vision-Language-Action Models
Haochuan Xu, Yun Sing Koh, Shuhuai Huang +4
Vision-Language-Action (VLA) models have achieved revolutionary progress in robot learning, enabling robots to execute complex physical robot tasks from natural language instructio…
cs.LG2025
Robust Learning of Diffusion Models with Extremely Noisy Conditions
Xin Chen, Gillian Dobbie, Xinyu Wang +3
Conditional diffusion models have the generative controllability by incorporating external conditions. However, their performance significantly degrades with noisy conditions, such…
cs.CR2025
Goal-oriented Backdoor Attack against Vision-Language-Action Models via Physical Objects
Zirun Zhou, Zhengyang Xiao, Haochuan Xu +3
Recent advances in vision-language-action (VLA) models have greatly improved embodied AI, enabling robots to follow natural language instructions and perform diverse tasks. However…