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Machine learning approaches for enhancing smart contracts security: A systematic literature review
Smart contract vulnerability detection
AI-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions
Smart Contract Vulnerability Detection Based on Dual Attention Graph Convolutional Network
Automated Software Vulnerability Detection with Deep Learning for Natural Language Processing
Test security properties for smart contracts & Detect vulnerabilities | Diligence Scribble & Fuzzing
Machine Learning to flag Malicious Smart Contracts
Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection
Detecting State Manipulation Vulnerabilities in Smart Contracts Using LLM and Static Analysis
Automatic Detection of Vulnerabilities in Smart Contracts - Mooly Sagiv
Automated vulnerability analysis in smart contracts
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Last Updated: August 22, 2026
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