ScrawlD: A Dataset of Real World Ethereum Smart Contracts Labelled with Vulnerabilities

23 February 2022

Papers citing "ScrawlD: A Dataset of Real World Ethereum Smart Contracts Labelled with Vulnerabilities"

6 / 6 papers shown

Title
Generative Large Language Model usage in Smart Contract Vulnerability Detection Peter Ince Jiangshan Yu Joseph K. Liu Xiaoning Du 42 0 0 07 Apr 2025
Detection Made Easy: Potentials of Large Language Models for Solidity Vulnerabilities Md Tauseef Alam Raju Halder Abyayananda Maiti 41 2 0 15 Sep 2024
Detect Llama -- Finding Vulnerabilities in Smart Contracts using Large Language Models Peter Ince Xiapu Luo Jiangshan Yu Joseph K. Liu Xiaoning Du ELM 38 5 0 12 Jul 2024
HyMo: Vulnerability Detection in Smart Contracts using a Novel Multi-Modal Hybrid Model M. Khodadadi J. Tahmoresnezhad 14 4 0 25 Apr 2023
Consolidation of Ground Truth Sets for Weakness Detection in Smart Contracts Monika di Angelo G. Salzer 22 9 0 23 Apr 2023
AutoMESC: Automatic Framework for Mining and Classifying Ethereum Smart Contract Vulnerabilities and Their Fixes M. Soud I. Qasse Grischa Liebel Mohammad Hamdaqa 24 7 0 20 Dec 2022