RU-System-Software-and-Security / CovTesting
DNN Coverage Based Testing Study
☆16Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for CovTesting
- ☆18Updated 5 years ago
- ☆24Updated 4 years ago
- Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"☆46Updated 2 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
- DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems☆51Updated 6 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
- Code release for RobOT (ICSE'21)☆15Updated last year
- ☆15Updated 4 years ago
- Reward Guided Test Generation for Deep Learning☆20Updated 3 months ago
- ADAPT is the open source white-box testing framework for deep neural networks☆21Updated last year
- DeepInspect code release☆11Updated 4 years ago
- Developed with the UROP, Detecting Deep Learning Software Defects (Spring 2019), HKUST☆22Updated 3 years ago
- DeepLocalize: Fault Localization for Deep NeuralNetworks☆25Updated 3 years ago
- This repository contains the implementation and the evaluation of our ESEC/FSE 2020 paper: Detecting Numerical Bugs in Neural Network Ar…☆26Updated 3 years ago
- This repository contains the dataset of our ISSTA 2018 paper: An Empirical Study on TensorFlow Program Bugs.☆30Updated 4 years ago
- Towards Robustness of Deep Program Processing Models – Detection, Estimation and Enhancement☆19Updated 2 years ago
- An Automatic DNN TrainingProblem Detection and Repair System☆17Updated 10 months ago
- ☆26Updated last year
- ICSE2021 Submission☆12Updated 2 years ago
- ☆9Updated last year
- ☆23Updated 2 months ago
- Testing Deep Neural Networks☆15Updated 6 years ago
- CC: Causality-Aware Coverage Criterion for Deep Neural Networks☆10Updated last year
- Code for the AAAI 2023 paper "CodeAttack: Code-based Adversarial Attacks for Pre-Trained Programming Language Models☆25Updated last year
- ☆15Updated 5 months ago
- A systematic testing tool for automatically detecting erroneous behaviors of DNN-driven vehicles☆79Updated 5 years ago
- A collection of publications that works on code models but beyond focusing on the accuracies.☆13Updated last year
- Generating Adversarial Examples for Holding Robustness of Source Code Processing Models☆12Updated 2 years ago
- Concolic Testing for Deep Neural Networks☆117Updated 3 years ago