youhanmo / DRFuzzLinks
This repository is for the paper of ICSE 2023: Regression Fuzzing for Deep Learning Systems
☆12Updated last year
Alternatives and similar repositories for DRFuzz
Users that are interested in DRFuzz are comparing it to the libraries listed below
Sorting:
- DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems☆52Updated 7 years ago
- ADAPT is the open source white-box testing framework for deep neural networks☆22Updated 2 years ago
- ☆88Updated 2 years ago
- This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.☆55Updated last year
- VulRepair: A T5-Based Automated Software Vulnerability Repair☆81Updated 4 months ago
- Code release for RobOT (ICSE'21)☆15Updated 2 years ago
- For our ISSTA22 paper "DocTer: Documentation-Guided Fuzzing for Testing Deep Learning API Functions" by Danning Xie, Yitong Li, Mijung Ki…☆37Updated 3 years ago
- Fuzzing Deep-Learning Libraries via Automated Relational API Inference (ESEC/FSE 2022)☆39Updated 2 years ago
- ☆31Updated last year
- ☆76Updated 2 years ago
- ☆216Updated last year
- The replication package of paper "Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks"☆25Updated last year
- open science repo of "Neural Transfer Learning for Repairing Security Vulnerabilities in C Code" https://arxiv.org/pdf/2104.08308☆63Updated last year
- Seminar 2022☆21Updated last week
- The official repository of "GraphSPD: Graph-Based Security Patch Detection with Enriched Code Semantics". The paper will appear in the IE…☆47Updated 2 years ago
- This is an evaluation set for the problem of directed/targeted test input generation. We use it to benchmark the ability of Large Languag…☆33Updated 7 months ago
- VulTrigger is a tool to for identifying vulnerability-triggering statements across functions and investigating the effectiveness of funct…☆41Updated last year
- Replication package for "Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection", ICSE 2024.☆67Updated last year
- This is a benchmark for evaluating the vulnerability discovery ability of automated approaches including Large Language Models (LLMs), de…☆73Updated 10 months ago
- ☆21Updated 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
- DeepWukong: Statically Detecting Software Vulnerabilities Using Deep Graph Neural Network☆110Updated 3 years ago
- We propose a novel adversarial example generation technique (i.e., CODA) for testing deep code models. Its key idea is to use code differ…☆16Updated 2 years ago
- ☆15Updated 2 years ago
- ☆15Updated last year
- Vulnerability Discovery with Function Representation Learning from Unlabeled Projects☆38Updated 7 years ago
- For our ISSTA23 paper "How Effective are Neural Networks for Fixing Security Vulnerabilities?" by Yi Wu, Nan Jiang, Hung Viet Pham, Thiba…☆39Updated last year
- ☆14Updated 2 years ago
- ☆122Updated last year
- A Transformer-based Line-Level Vulnerability Prediction☆147Updated last year