activity
20202023
most citedGPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis

180 citations · 242 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2023★ 180 cited

GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis

Yuqiang Sun, Daoyuan Wu, Yue Xue +5

Smart contracts are prone to various vulnerabilities, leading to substantial financial losses over time. Current analysis tools mainly target vulnerabilities with fixed control or…

cs.CR2023★ 36 cited

How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation

Cen Zhang, Yaowen Zheng, Mingqiang Bai +6

LLM-based (Large Language Model) fuzz driver generation is a promising research area. Unlike traditional program analysis-based method, this text-based approach is more general and…

cs.SE2022★ 8 cited

Morest: Model-based RESTful API Testing with Execution Feedback

Yi Liu, Yuekang Li, Gelei Deng +6

RESTful APIs are arguably the most popular endpoints for accessing Web services. Blackbox testing is one of the emerging techniques for ensuring the reliability of RESTful APIs. Th…

cs.SE2022

Modx: Binary Level Partial Imported Third-Party Library Detection through Program Modularization and Semantic Matching

Can Yang, Zhengzi Xu, Hongxu Chen +3

With the rapid growth of software, using third-party libraries (TPLs) has become increasingly popular. The prosperity of the library usage has provided the software engineers with…

cs.SE2020★ 18 cited

MUZZ: Thread-aware Grey-box Fuzzing for Effective Bug Hunting in Multithreaded Programs

Hongxu Chen, Shengjian Guo, Yinxing Xue +5

Grey-box fuzz testing has revealed thousands of vulnerabilities in real-world software owing to its lightweight instrumentation, fast coverage feedback, and dynamic adjusting strat…