collaborators

10 papers

cs.CR2026

AgentWorm: Self-Propagating Attacks Across LLM Agent Ecosystems

Yihao Zhang, Zeming Wei, Xiaokun Luan +7

The paper introduces AgentWorm, a self-replicating worm that can autonomously infect and spread across large-scale LLM-based agent ecosystems by hijacking configurations and execut…

cs.CR2026

MOSAIC: Knowledge-Guided CLI Command Composition Attack in LLM Coding Agents

Jiangrong Wu, Huaijin Wang, Yihao Zhang +2

LLM coding agents increasingly complete development tasks by issuing ordinary CLI commands. Following the Unix design, these commands cooperate through shared operating-system stat…

cs.SC2026

Symbolic-Neural Soft-Logic Reasoning: Towards Robust and Verifiable Thinking Chains via Cooperative Evolution

Rui Wang, Zeming Wei, Yihao Zhang +1

Large Language Models (LLMs) have demonstrated impressive progress in complex reasoning tasks, largely driven by the Chain-of-Thought (CoT) paradigm, which decomposes difficult pro…

cs.SE2026

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing

Zeming Wei, Zhixin Zhang, Chengcan Wu +3

Large Language Models (LLMs) face severe safety risks from jailbreak attacks, yet current safety testing largely relies on static datasets and lacks systematic criteria to evaluate…

cs.CR2026

VOW: Verifiable and Oblivious Watermark Detection for Large Language Models

Xiaokun Luan, Yihao Zhang, Pengcheng Su +2

Large Language Model (LLM) watermarking is crucial for establishing the provenance of machine-generated text, but most existing methods rely on a centralized trust model. This mode…

cs.LG2026

Secure LLM Fine-Tuning via Safety-Aware Probing

Chengcan Wu, Zhixin Zhang, Zeming Wei +3

Large language models (LLMs) have achieved remarkable success across many applications, but their ability to generate harmful content raises serious safety concerns. Although safet…