activity
20242026
collaborators

6 papers

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.CR2026

ForgetMark: Stealthy Fingerprint Embedding via Targeted Unlearning in Language Models

Zhenhua Xu, Haobo Zhang, Zhebo Wang +4

Existing invasive (backdoor) fingerprints suffer from high-perplexity triggers that are easily filtered, fixed response patterns exposed by heuristic detectors, and spurious activa…

cs.LG2025

Spectral Logit Sculpting: Adaptive Low-Rank Logit Transformation for Controlled Text Generation

Jin Li, Zhebo Wang, Tianliang Lu +3

Entropy-based inference methods have gained traction for improving the reliability of Large Language Models (LLMs). However, many existing approaches, such as entropy minimization…

cs.CR2025

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends

Zhenhua Xu, Xubin Yue, Zhebo Wang +9

Copyright protection for large language models is of critical importance, given their substantial development costs, proprietary value, and potential for misuse. Existing surveys h…

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.CR2024

Fingerprint Vector: Enabling Scalable and Efficient Model Fingerprint Transfer via Vector Addition

Zhenhua Xu, Qichen Liu, Zhebo Wang +4

Backdoor-based fingerprinting has emerged as an effective technique for tracing the ownership of large language models. However, in real-world deployment scenarios, developers ofte…