activity
20212026
most citedRigorLLM: Resilient Guardrails for Large Language Models against Undesired Content

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

ShieldNet: Network-Level Guardrails against Emerging Supply-Chain Injections in Agentic Systems

Zhuowen Yuan, Zhaorun Chen, Zhen Xiang +5

Existing research on LLM agent security mainly focuses on prompt injection and unsafe input/output behaviors. However, as agents increasingly rely on third-party tools and MCP serv…

cs.AI2025

ArchPilot: A Proxy-Guided Multi-Agent Approach for Machine Learning Engineering

Zhuowen Yuan, Tao Liu, Yang Yang +5

Recent LLM-based agents have demonstrated strong capabilities in automated ML engineering. However, they heavily rely on repeated full training runs to evaluate candidate solutions…

cs.CL2025

MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models

Chejian Xu, Jiawei Zhang, Zhaorun Chen +22

Multimodal foundation models (MMFMs) play a crucial role in various applications, including autonomous driving, healthcare, and virtual assistants. However, several studies have re…

cs.CR2024★ 2 cited

RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content

Zhuowen Yuan, Zidi Xiong, Yi Zeng +4

Recent advancements in Large Language Models (LLMs) have showcased remarkable capabilities across various tasks in different domains. However, the emergence of biases and the poten…

cs.CV2021

On Generating Identifiable Virtual Faces

Zhuowen Yuan, Zhengxin You, Sheng Li +3

Face anonymization with generative models have become increasingly prevalent since they sanitize private information by generating virtual face images, ensuring both privacy and im…