🧑💻RESEARCH
Deep Smart Contract Intent Detection
AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective
Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis
Tackling Long-Range Malware Detection Tasks Using Holographic Global Convolutional Networks
Veritas: Layer-2 Scaling Solution for Decentralized Oracles on Ethereum Blockchain with Reputation and Real-Time Considerations
Artificial Intelligence (AI) Cybersecurity Dimensions: A Comprehensive Framework for Understanding Adversarial and Offensive AI
THREATKG: A Threat Knowledge Graph for Automated Open-Source Cyber Threat Intelligence Gathering and Management
The Intersection of Artificial Intelligence and Cybersecurity: Challenges and Opportunities
Vulnerability Scanners for Ethereum Smart Contracts: A Large-Scale Study
Towards Secure and Trusted-by-Design Smart Contracts
DISL: Fueling Research with A Large Dataset of Solidity Smart Contracts
Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications
Large Language Models for Blockchain Security: A Systematic Literature Review
Efficiently Detecting Reentrancy Vulnerabilities in Complex Smart Contracts
Teaching Machines to Code: Smart Contract Translation With LLMs
Fixing Smart Contract Vulnerabilities: A Comparative Analysis of Literature and Developer’s Practices
SmartML: Towards a Modeling Language for Smart Contracts
Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair
Evolution of Automated Weakness Detection in Ethereum Bytecode: a Comprehensive Study
TxT: Real-time Transaction Encapsulation for Ethereum Smart Contracts
Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners?
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