collaborators

6 papers

cs.CR2026

SafeHarness: Lifecycle-Integrated Security Architecture for LLM-based Agent Deployment

Xixun Lin, Yang Liu, Yancheng Chen +8

The performance of large language model (LLM) agents depends critically on the execution harness, the system layer that orchestrates tool use, context management, and state persist…

cs.CL2026

WorldCup Sampling for Multi-bit LLM Watermarking

Yidan Wang, Yubing Ren, Yanan Cao +1

As large language models (LLMs) generate increasingly human-like text, watermarking has emerged as a promising solution for reliable attribution beyond mere detection. While multi-…

cs.CR2026

DualGuard: Dual-stream Large Language Model Watermarking Defense against Paraphrase and Spoofing Attack

Hao Li, Yubing Ren, Yanan Cao +4

With the rapid development of cloud-based services, large language models have become increasingly accessible through various web platforms. However, this accessibility has also le…

cs.CR2026

Rethinking LLM Watermark Detection in Black-Box Settings: A Non-Intrusive Third-Party Framework

Zhuoshang Wang, Yubing Ren, Yanan Cao +3

While watermarking serves as a critical mechanism for LLM provenance, existing secret-key schemes tightly couple detection with injection, requiring access to keys or provider-side…

cs.CL2026

Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection

Xiaowei Zhu, Yubing Ren, Fang Fang +3

The rapid advancement of large language models has increasingly blurred the boundary between human-written and AI-generated text, raising societal risks such as misinformation diss…

cs.AI2025

LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions

Xixun Lin, Yucheng Ning, Jingwen Zhang +21

Driven by the rapid advancements of Large Language Models (LLMs), LLM-based agents have emerged as powerful intelligent systems capable of human-like cognition, reasoning, and inte…