2 papers
cs.CR2026
Implicit Manipulation for Skill Selection in LLM Agents with Semantic Matching
Qikai Wang, Yongzhao Zhang, Zhiwei Chen +3
Skill selection is a key stage in LLM-agent workflows, determining which installed skill should handle a user request. Existing attacks on this stage primarily rely on explicit pro…
cs.CV2024
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch
Qikai Wang, Rundong He, Yongshun Gong +4
Semi-supervised learning can significantly boost model performance by leveraging unlabeled data, particularly when labeled data is scarce. However, real-world unlabeled data often…