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20242026
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cs.CR2026

LoRA-Key: User-Centric LoRA Watermarking for Text-to-Image Diffusion Models

Yaopeng Wang, Qingliang Wang, Zhibo Wang +5

Low-Rank Adaptation (LoRA) has become a widely used mechanism for customizing text-to-image diffusion models, enabling lightweight modules that are shared, reused, and commercializ…

cs.CR2026

RouteScan: A Non-Intrusive Approach to Auditing MoE LLMs Safety via Expert Routing Telemetry

Bo Lv, Zhiheng Xu, KeDong Xiu +4

As Mixture-of-Experts (MoE) architectures are increasingly adopted for scaling Large Language Models (LLMs), safety auditing becomes necessary to verify whether these models produc…

cs.CR2026

LoopTrap: Termination Poisoning Attacks on LLM Agents

Huiyu Xu, Zhibo Wang, Wenhui Zhang +4

Modern LLM agents solve complex tasks by operating in iterative execution loops, where they repeatedly reason, act, and self-evaluate progress to determine when a task is complete.…

cs.CR2026

RerouteGuard: Understanding and Mitigating Adversarial Risks for LLM Routing

Wenhui Zhang, Huiyu Xu, Zhibo Wang +4

Recent advancements in multi-model AI systems have leveraged LLM routers to reduce computational cost while maintaining response quality by assigning queries to the most appropriat…

cs.CR2025

Textual Unlearning Gives a False Sense of Unlearning

Jiacheng Du, Zhibo Wang, Jie Zhang +3

Language Models (LMs) are prone to ''memorizing'' training data, including substantial sensitive user information. To mitigate privacy risks and safeguard the right to be forgotten…

cs.CR2025

PT-Mark: Invisible Watermarking for Text-to-image Diffusion Models via Semantic-aware Pivotal Tuning

Yaopeng Wang, Huiyu Xu, Zhibo Wang +5

Watermarking for diffusion images has drawn considerable attention due to the widespread use of text-to-image diffusion models and the increasing need for their copyright protectio…