Skip navigation
Search
Sciety application settings
Home
Groups
Explore
Newsletter
About
Log In
Sign Up
Adversarial generation method for smart contract fuzz testing seeds guided by chain-based LLM
Jiaze Sun
Zhiqiang Yin
Hengshan Zhang
Xiang Chen
Wei Zheng
Read the full article
See related articles
Listed in
This article is not in any list yet, why not save it to one of your lists.
Log in to save this article
Abstract
No abstract available
Article activity feed
Version published to 10.1007/s10515-024-00483-4
Dec 31, 2024
Version published to 10.21203/rs.3.rs-4666159/v1 on Research Square
Jul 26, 2024
Related articles
A One-Class Variational Autoencoder for Smart Contract Vulnerability Detection
This article has 2 authors:
Shaowei GUAN
Ngai Fong Law
Smart Contract Security in Decentralized Finance: Enhancing Vulnerability Detection with Reinforcement Learning
This article has 5 authors:
Jose Juan de Leon
Cenchuan Zhang
Christos - Spyridon Koulouris
Francesca Medda
Rahul Ravji
Intelligent Test Case Generation Method for Fuzzing IoT Protocols Based on LLM
This article has 8 authors:
Ming Zhong
Zisheng Zeng
Yijia Guo
Dandan Zhao
Bo Zhang
Shenghong Li
Hao Peng
Zhiguo Ding
Site navigation links
Home
Groups
Explore
Newsletter
About
Log In
Sign Up