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.
☆16Updated last year
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☆80Updated 4 months ago
- ☆33Updated 3 years ago
- For our ICSE21 paper "CURE: Code-Aware Neural Machine Translation for Automatic Program Repair" by Nan Jiang, Thibaud Lutellier, and Lin …☆55Updated 2 years ago
- ☆39Updated 2 years ago
- Towards Robustness of Deep Program Processing Models – Detection, Estimation and Enhancement☆21Updated 2 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
- Enhacing Code Pre-trained Models by Contrastive Learning☆35Updated 2 years ago
- We propose a novel DL-based mutation technique (LEAM), which adapts the syntax-guided encoder-decoder architecture to build two sub-model…☆28Updated last year
- [TOSEM 2023] A Survey of Learning-based Automated Program Repair☆69Updated last year
- Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022☆46Updated last year
- ☆49Updated 2 years ago
- ☆14Updated last year
- ☆15Updated 2 years ago
- Statement-level deep learning model for automated software vulnerability detection in C/C++ (Accepted in MSR 2022)☆72Updated 3 years ago
- ☆29Updated 4 years ago
- ☆34Updated last year
- ☆76Updated 2 years ago
- ☆14Updated 3 years ago
- ☆10Updated last year
- Vision Transformer-Inspired Automated Vulnerability Repair☆19Updated 4 months ago
- An implementation of Tare.☆12Updated last year
- mBERT is a mutation testing tool that uses a pre-trained language model (CodeBERT) to generate mutants.☆15Updated last month
- Program Transformation Tool for Java Methods☆11Updated 3 years ago
- ☆18Updated last year
- Neural Program Repair with Execution-based Backpropagation http://arxiv.org/pdf/2105.04123☆24Updated 2 years ago
- This repo illustrates how to evaluate the artifacts in the paper An Extensive Study on Pre-trained Models for Program Understanding and G…☆25Updated 3 years ago
- Replication package for "Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection", ICSE 2024.☆67Updated 11 months ago
- 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 last year
- ☆12Updated 3 years ago
- Code of our paper Applying CodeBERT for Automated Program Repair of Java Simple Bugs which is accepted to MSR 2021.☆53Updated 2 years ago