activity
20212026
most citedOn Generating Identifiable Virtual Faces

28 citations · 30 across the 5 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★ 28 cited

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…