tianzhaotju / CODALinks
We propose a novel adversarial example generation technique (i.e., CODA) for testing deep code models. Its key idea is to use code differences between the target input and reference inputs to guide the generation of adversarial examples.
☆19Updated 2 years ago
Alternatives and similar repositories for CODA
Users that are interested in CODA are comparing it to the libraries listed below
Sorting:
- VulRepair: A T5-Based Automated Software Vulnerability Repair☆83Updated 7 months ago
- ☆32Updated 3 years ago
- ☆40Updated 2 years ago
- Towards Robustness of Deep Program Processing Models – Detection, Estimation and Enhancement☆21Updated 3 years ago
- For our ICSE21 paper "CURE: Code-Aware Neural Machine Translation for Automatic Program Repair" by Nan Jiang, Thibaud Lutellier, and Lin …☆56Updated 3 years ago
- Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022☆49Updated last month
- We propose a novel DL-based mutation technique (LEAM), which adapts the syntax-guided encoder-decoder architecture to build two sub-model…☆29Updated last year
- open science repo of "Neural Transfer Learning for Repairing Security Vulnerabilities in C Code" https://arxiv.org/pdf/2104.08308☆62Updated last year
- Enhacing Code Pre-trained Models by Contrastive Learning☆37Updated 2 years ago
- [TOSEM 2023] A Survey of Learning-based Automated Program Repair☆73Updated last year
- Statement-level deep learning model for automated software vulnerability detection in C/C++ (Accepted in MSR 2022)☆74Updated 3 years ago
- ☆53Updated 3 years ago
- Replication package for "Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection", ICSE 2024.☆68Updated last year
- ☆14Updated 3 years ago
- ☆16Updated 2 years ago
- mBERT is a mutation testing tool that uses a pre-trained language model (CodeBERT) to generate mutants.☆16Updated 4 months ago
- [SANER 2023] MixCode: Enhancing Code Classification by Mixup-Based Data Augmentation☆15Updated last year
- For our ISSTA23 paper "How Effective are Neural Networks for Fixing Security Vulnerabilities?" by Yi Wu, Nan Jiang, Hung Viet Pham, Thiba…☆41Updated 2 years ago
- ☆15Updated last year
- Vision Transformer-Inspired Automated Vulnerability Repair☆19Updated 7 months ago
- For our ISSTA20 paper "CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair" by Thibaud Lutellier…☆62Updated 2 years ago
- ☆34Updated last year
- This repo illustrates how to evaluate the artifacts in the paper Deep Just-in-Time Defect Prediction: How Far Are We? published in ISSTA'…☆37Updated 2 years ago
- Source Code Data Augmentation for Deep Learning: A Survey.☆66Updated last year
- The replication package of paper "Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks"☆27Updated last year
- This repository is to support contributions for tools and new data entries for the D2A dataset hosted in DAX☆74Updated 3 years ago
- ☆125Updated last year
- This repo illustrates how to evaluate the artifacts in the paper An Extensive Study on Pre-trained Models for Program Understanding and G…☆26Updated 3 years ago
- Source Code for Paper "Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning"☆18Updated 2 years ago
- An implementation of the ACL 2024 Findings paper "Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tu…☆74Updated 2 months ago