3 papers
cs.CR2026
When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models
Ruihan Hu, Yu-Ming Shang, Wei Luo +2
Large Reasoning Models (LRMs) have rapidly gained prominence for their strong performance in solving complex tasks. Many modern black-box LRMs expose the intermediate reasoning tra…
cs.CL2025
Automated Detection of Pre-training Text in Black-box LLMs
Ruihan Hu, Yu-Ming Shang, Jiankun Peng +3
Detecting whether a given text is a member of the pre-training data of Large Language Models (LLMs) is crucial for ensuring data privacy and copyright protection. Most existing met…
cs.CR2025
Hoist with His Own Petard: Inducing Guardrails to Facilitate Denial-of-Service Attacks on Retrieval-Augmented Generation of LLMs
Pan Suo, Yu-Ming Shang, San-Chuan Guo +1
Retrieval-Augmented Generation (RAG) integrates Large Language Models (LLMs) with external knowledge bases, improving output quality while introducing new security risks. Existing…