awsm-research / DeepLineDPLinks
☆35Updated 3 years ago
Alternatives and similar repositories for DeepLineDP
Users that are interested in DeepLineDP are comparing it to the libraries listed below
Sorting:
- ☆21Updated 5 years ago
- Revisiting Graph Neural Networks for Vulnerability Detection (ICSE 2022) (Pytorch)☆72Updated 3 years ago
- ☆49Updated 2 years ago
- this is the repository for the paper titled "The Best of Both Worlds: Integrating Semantic Features with Expert Features for Defect Predi…☆18Updated last year
- ☆75Updated 2 years ago
- VulnerabilityDetectionResearch☆89Updated 3 years ago
- ☆85Updated 4 years ago
- Statement-level deep learning model for automated software vulnerability detection in C/C++ (Accepted in MSR 2022)☆73Updated 3 years ago
- ☆22Updated 3 years ago
- ☆212Updated last year
- Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks☆231Updated last year
- ☆12Updated 2 years ago
- Fault localization and automated program repair techniques☆32Updated 2 years ago
- DeepWukong: Statically Detecting Software Vulnerabilities Using Deep Graph Neural Network☆110Updated 2 years ago
- ☆12Updated last year
- [ICSE 2021] - InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees☆89Updated 3 years ago
- Code and data for paper "Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree".☆66Updated 3 years ago
- ☆14Updated 3 years ago
- Labeled vulnerable functions statistics analysis and neural network training☆26Updated 6 years ago
- ☆16Updated 2 years ago
- A Transformer-based Line-Level Vulnerability Prediction☆142Updated last year
- Code for ICSE'24 Paper☆10Updated last year
- ☆29Updated 3 years ago
- This repository is to support contributions for tools and new data entries for the D2A dataset hosted in DAX☆74Updated 3 years ago
- open science repo of "Neural Transfer Learning for Repairing Security Vulnerabilities in C Code" https://arxiv.org/pdf/2104.08308☆63Updated last year
- FUNDED is a novel learning framework for building vulnerability detection models.☆130Updated last year
- When Less is Enough: Positive-Unlabeled Learning Model for Vulnerability Detection☆13Updated last year
- ☆40Updated 2 years ago
- ☆33Updated 3 years ago
- ☆22Updated 3 years ago