collaborators
Showing cs.CRShow all

5 papers · 1 filter

cs.CR2026

SynChain: Inducing Computer-Use Agent Systems to Construct Their Own Attack Chains

Fuyao Zhang, Jiaming Zhang, Che Wang +7

Computer-use agents~(CUAs) have transformed large language models into persistent execution systems capable of generating, storing, and reusing artifacts like skills and memory ent…

cs.CR2026

ProjLens: Unveiling the Role of Projectors in Multimodal Model Safety

Kun Wang, Cheng Qian, Miao Yu +6

Multimodal Large Language Models (MLLMs) have achieved remarkable success in cross-modal understanding and generation, yet their deployment is threatened by critical safety vulnera…

cs.CR2026

AdapTools: Adaptive Tool-based Indirect Prompt Injection Attacks on Agentic LLMs

Che Wang, Jiaming Zhang, Ziqi Zhang +6

The integration of external data services (e.g., Model Context Protocol, MCP) has made large language model-based agents increasingly powerful for complex task execution. However,…

cs.CR2026

VENOMREC: Cross-Modal Interactive Poisoning for Targeted Promotion in Multimodal LLM Recommender Systems

Guowei Guan, Yurong Hao, Jiaming Zhang +6

Multimodal large language models (MLLMs) are pushing recommender systems (RecSys) toward content-grounded retrieval and ranking via cross-modal fusion. We find that while cross-mod…

cs.CR2025

DualTAP: A Dual-Task Adversarial Protector for Mobile MLLM Agents

Fuyao Zhang, Jiaming Zhang, Che Wang +6

The reliance of mobile GUI agents on Multimodal Large Language Models (MLLMs) introduces a severe privacy vulnerability: screenshots containing Personally Identifiable Information…