EVIL (Exploiting software VIa natural Language) is an approach to automatically generate software exploits in assembly/Python language from descriptions in natural language. The approach leverages Neural Machine Translation (NMT) techniques and a dataset that we developed for this work.
Neural search engine for discovering semantically similar Python repositories on GitHub
This repository contains the code, the dataset and the experimental results related to the paper "Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks" accepted for publication at The 32nd IEEE/ACM International Conference on Program Comprehension (ICPC 2024).
Django implementation of CodeBERT for detecting vulnerable code.
Improving Source Code Similarity Detection with GraphCodeBERT and Additional Feature Integration
Reproducibility report ofCoSQA: 20,000+ Web Queries for Code Search and QuestionAnswering for ML Reproducibility Challenge 2021
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