collaborators

6 papers

cs.CR2024

AdvAgent: Controllable Blackbox Red-teaming on Web Agents

Chejian Xu, Mintong Kang, Jiawei Zhang +5

Foundation model-based agents are increasingly used to automate complex tasks, enhancing efficiency and productivity. However, their access to sensitive resources and autonomous de…

cs.CR2024

EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage

Zeyi Liao, Lingbo Mo, Chejian Xu +6

Generalist web agents have demonstrated remarkable potential in autonomously completing a wide range of tasks on real websites, significantly boosting human productivity. However,…

cs.LG2024

GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning

Zhen Xiang, Linzhi Zheng, Yanjie Li +9

The rapid advancement of large language model (LLM) agents has raised new concerns regarding their safety and security. In this paper, we propose GuardAgent, the first guardrail ag…

cs.AI2024

ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles

Jiawei Zhang, Chejian Xu, Bo Li

We present ChatScene, a Large Language Model (LLM)-based agent that leverages the capabilities of LLMs to generate safety-critical scenarios for autonomous vehicles. Given unstruct…

cs.CL2024

KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking

Jiawei Zhang, Chejian Xu, Yu Gai +3

This paper introduces KnowHalu, a novel approach for detecting hallucinations in text generated by large language models (LLMs), utilizing step-wise reasoning, multi-formulation qu…

cs.LG2024

Benchmarking Large Multimodal Models against Common Corruptions

Jiawei Zhang, Tianyu Pang, Chao Du +3

This technical report aims to fill a deficiency in the assessment of large multimodal models (LMMs) by specifically examining the self-consistency of their outputs when subjected t…