activity
20192026
most citedUnderstanding Performance Problems in Deep Learning Systems

33 citations · 127 across the 30 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.SE2024

RoadGen: Generating Road Scenarios for Autonomous Vehicle Testing

Fan Yang, You Lu, Bihuan Chen +2

With the rapid development of autonomous vehicles, there is an increasing demand for scenario-based testing to simulate diverse driving scenarios. However, as the base of any drivi…

cs.SE2024

DynNPC: Finding More Violations Induced by ADS in Simulation Testing through Dynamic NPC Behavior Generation

You Lu, Yifan Tian, Dingji Wang +2

Recently, a number of simulation testing approaches have been proposed to generate diverse driving scenarios for autonomous driving systems (ADSs) testing. However, the behaviors o…

cs.SE2024★ 1 cited

Lifting the Veil on Composition, Risks, and Mitigations of the Large Language Model Supply Chain

Kaifeng Huang, Bihuan Chen, You Lu +7

Large language models (LLMs) have sparked significant impact with regard to both intelligence and productivity. Numerous enterprises have integrated LLMs into their applications to…

cs.SE2024★ 17 cited

Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG

Xueying Du, Geng Zheng, Kaixin Wang +9

Although LLMs have shown promising potential in vulnerability detection, this study reveals their limitations in distinguishing between vulnerable and similar-but-benign patched co…

cs.AI2024

A general approach to enhance the survivability of backdoor attacks by decision path coupling

Yufei Zhao, Dingji Wang, Bihuan Chen +2

Backdoor attacks have been one of the emerging security threats to deep neural networks (DNNs), leading to serious consequences. One of the mainstream backdoor defenses is model re…