Juliet

The 'Juliet' dataset is a benchmark that contains a collection of code examples used to evaluate the effectiveness of vulnerability detection methods based on deep learning.

Papers using Juliet (3)

Utilizing Precise and Complete Code Context to Guide LLM in Automatic False Positive Mitigation2024 · 2 citesFrom Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection2025Bi-Directional Transformers vs. word2vec: Discovering Vulnerabilities in Lifted Compiled Code2024