collaborators

6 papers

cs.CR2026

DNF: Dual-Layer Nested Fingerprinting for Large Language Model Intellectual Property Protection

Zhenhua Xu, Yiran Zhao, Mengting Zhong +4

The rapid growth of large language models raises pressing concerns about intellectual property protection under black-box deployment. Existing backdoor-based fingerprints either re…

cs.CL2026

ICPO: Illocution-Calibrated Policy Optimization for Multi-Turn Conversation

Zhebo Wang, Xiaohu Mu, Zijie Zhou +4

Large Language Models (LLMs) in multi-turn conversations often suffer from a ``lost-in-conversation'' phenomenon, where they struggle to recover from early incorrect assumptions, p…

cs.CV2025

Scalpel-SAM: A Semi-Supervised Paradigm for Adapting SAM to Infrared Small Object Detection

Zihan Liu, Xiangning Ren, Dezhang Kong +2

Infrared small object detection urgently requires semi-supervised paradigms due to the high cost of annotation. However, existing methods like SAM face significant challenges of do…

cs.CR2025

Web Fraud Attacks Against LLM-Driven Multi-Agent Systems

Dezhang Kong, Hujin Peng, Yilun Zhang +5

With the proliferation of LLM-driven multi-agent systems (MAS), the security of Web links has become a critical concern. Once MAS is induced to trust a malicious link, attackers ca…

cs.CR2025

A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures

Dezhang Kong, Shi Lin, Zhenhua Xu +16

In recent years, Large-Language-Model-driven AI agents have exhibited unprecedented intelligence and adaptability. Nowadays, agents are undergoing a new round of evolution. They no…

cs.LG2025

NeuRel-Attack: Neuron Relearning for Safety Disalignment in Large Language Models

Yi Zhou, Wenpeng Xing, Dezhang Kong +2

Safety alignment in large language models (LLMs) is achieved through fine-tuning mechanisms that regulate neuron activations to suppress harmful content. In this work, we propose a…