# RESEARCH

Deep Smart Contract Intent Detection

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AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective

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Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis

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Tackling Long-Range Malware Detection Tasks Using Holographic Global Convolutional Networks

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Veritas: Layer-2 Scaling Solution for Decentralized Oracles on Ethereum Blockchain with Reputation and Real-Time Considerations

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Artificial Intelligence (AI) Cybersecurity Dimensions: A Comprehensive Framework for Understanding Adversarial and Offensive AI

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THREATKG: A Threat Knowledge Graph for Automated Open-Source Cyber Threat Intelligence Gathering and Management

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The Intersection of Artificial Intelligence and Cybersecurity: Challenges and Opportunities

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Vulnerability Scanners for Ethereum Smart Contracts: A Large-Scale Study

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Towards Secure and Trusted-by-Design Smart Contracts

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DISL: Fueling Research with A Large Dataset of Solidity Smart Contracts

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Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

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Large Language Models for Blockchain Security: A Systematic Literature Review

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AuditGPT: Auditing Smart Contracts with ChatGPT

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Efficiently Detecting Reentrancy Vulnerabilities in Complex Smart Contracts

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Teaching Machines to Code: Smart Contract Translation With LLMs

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Fixing Smart Contract Vulnerabilities: A Comparative Analysis of Literature and Developer’s Practices

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SmartML: Towards a Modeling Language for Smart Contracts

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Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair

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Evolution of Automated Weakness Detection in Ethereum Bytecode: a Comprehensive Study

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TxT: Real-time Transaction Encapsulation for Ethereum Smart Contracts

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Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners?

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