RU-System-Software-and-Security / CovTesting
DNN Coverage Based Testing Study
☆16Updated 4 years ago
Alternatives and similar repositories for CovTesting:
Users that are interested in CovTesting are comparing it to the libraries listed below
- ☆24Updated 4 years ago
- This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.☆54Updated last year
- ☆18Updated 5 years ago
- DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems☆52Updated 6 years ago
- Code release for RobOT (ICSE'21)☆14Updated 2 years ago
- Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"☆46Updated 2 years ago
- ☆24Updated 3 years ago
- This is the implementation repository of our incoming ESEC/FSE 2021 paper: Exposing Numerical Bugs in Deep Learning via GradientBack-prop…☆13Updated 2 years ago
- This repository contains the implementation and the evaluation of our ESEC/FSE 2020 paper: Detecting Numerical Bugs in Neural Network Ar…☆26Updated 4 years ago
- ADAPT is the open source white-box testing framework for deep neural networks☆21Updated last year
- ☆10Updated 2 years ago
- CC: Causality-Aware Coverage Criterion for Deep Neural Networks☆11Updated 2 years ago
- ☆17Updated 3 years ago
- This repository is for the paper of ICSE 2023: Regression Fuzzing for Deep Learning Systems☆12Updated last year
- White-box Fairness Testing through Adversarial Sampling☆13Updated 3 years ago
- Reward Guided Test Generation for Deep Learning☆20Updated 7 months ago
- DeepInspect code release☆11Updated 5 years ago
- Concolic Testing for Deep Neural Networks☆118Updated 3 years ago
- [ICSE 2023] Differentiable interpretation and failure-inducing input generation for neural network numerical bugs.☆12Updated last year
- This repository contains the dataset of our ISSTA 2018 paper: An Empirical Study on TensorFlow Program Bugs.☆30Updated 4 years ago
- Testing Deep Neural Networks☆15Updated 6 years ago
- ☆28Updated 2 years ago
- Code for the AAAI 2023 paper "CodeAttack: Code-based Adversarial Attacks for Pre-Trained Programming Language Models☆27Updated last year
- ICSE2021 Submission☆13Updated 2 years ago
- Is Neuron Coverage a Meaningful Measure for Testing Deep Neural Networks? (FSE 2020)☆10Updated 3 years ago
- Developed with the UROP, Detecting Deep Learning Software Defects (Spring 2019), HKUST☆23Updated 4 years ago
- Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022☆43Updated 6 months ago
- A systematic testing tool for automatically detecting erroneous behaviors of DNN-driven vehicles☆81Updated 6 years ago
- Fuzzing Deep-Learning Libraries via Automated Relational API Inference (ESEC/FSE 2022)☆34Updated last year
- Source code, datasets and models of the paper "Efficient White-box Fairness Testing through Gradient Search" by Lingfeng Zhang, Yueling Z…☆11Updated 3 years ago