# 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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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.veritasprotocol.com/research.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.