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cs.CR2026
ContainmentBench: Trace-Based Evaluation of Post-Exposure Containment in Tool-Using LLM Agents
Wenhao Lan, Shan Li, Meiqi Wu +3
Tool-using large language model (LLM) agents read untrusted content, maintain memory, delegate tasks, and invoke tools with external side effects. Terminal attack-success or policy…
cs.CR2026
From Refusal Geometry to Safety Geometry: Harmfulness--Refusal Coupling under Dynamic Adversarial Fine-Tuning
Wenhao Lan, Shan Li, Xinhua Lai +3
Safety alignment requires language models to refuse harmful requests without losing the ability to answer benign ones. Existing robustness evaluations, however, do not reveal wheth…
cs.CR2026
Do Phone-Use Agents Respect Your Privacy?
Zhengyang Tang, Ke Ji, Xidong Wang +19
We study whether phone-use agents respect privacy while completing benign mobile tasks. This question has remained hard to answer because privacy-compliant behavior is not operatio…