5 papers · 1 filter
TRAP: Tool-result Replay Attack for Probing Misbinding in LLM Agents
Yutong Zhi, Jie Zhang, Xiuqi Lu +2
As AI agents increasingly act through external tools, tool results are no longer simple outputs but execution artifacts that must remain correctly associated with the context that…
DRYLAB-Bench: Benchmarking the Biosecurity Risk of Agentic LLM Mutation Design
Yuzhen Wang, Chunxiao Li, Baichen Le +6
As large language models (LLMs) acquire advanced biological design capabilities, they offer substantial research benefits but simultaneously introduce severe dual-use risks, such a…
Imprint Reader: From Weight-Update Readout to Behavioral Intervention
Guanxu Chen, Qihao Lin, Jing Shao
As language models take a growing role in AI development, a natural aspiration is for them to reflect on their own learning process, as humans do, and use that reflection to improv…
READER: Dynamic LLM Provenance from Query-Varying Interactions
Jiaxu Liu, Sunnan Mu, Dong Huang +3
Existing black-box LLM provenance methods achieve comparability by querying every candidate model with the same diagnostic prompts. In deployment, auditors inherit a different evid…
Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5
Dongrui Liu, Yi Yu, Jie Zhang +18
To understand and identify the unprecedented risks posed by rapidly advancing artificial intelligence (AI) models, Frontier AI Risk Management Framework in Practice presents a comp…