Runtime safety filters for learned manipulation policies typically define unsafe states as unions of object-wise keep-out regions. This representation can be unnecessarily restrictive for hazards that depend on a joint spatial relation, such as battery recycling, where a conductive payload can short a charged cell only...
Yu-Xin Cao, Wei Song, Xiang-Lin Yang et al.· 0 citations
Adversarial patches to Vision-Language-Action (VLA) policies can cause both immediate action corruption and persistent state effects that remain after the patch is removed. Existing evaluations largely focus on continuous attacks and do not separate these two effects. We introduce a state-restoration protocol that remo...
Enjia Wu, Fu-Sen Guo, Yu-Xin Cao et al.· 0 citations
KeyBound is presented, a learned audio watermark that restores the two ingredients classical watermarking supplied and learned schemes set aside, a secret key and a host-aware carrier, so the key governs payload access while the host-conditioned carrier resists direct transplantation.
Bang-Shuo Zhu, Yu-Xin Cao, Wei-Fei Jin et al.· 0 citations
This study proposes a collaborative explainable AI framework for EEG mental health monitoring with constrained question-and-answer (QA) tuned LLM alignment, which builds a smooth transformation path from raw EEG signals to evidence, and constructs a structured QA dataset for the instruction fine-tuning of LLMs.
Zian Ding, Fu-Sen Guo, Bonan Zhang et al.· Journal of King Saud Univers...· 1 citation
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