coinse / sadlLinks
Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"
☆49Updated 3 years ago
Alternatives and similar repositories for sadl
Users that are interested in sadl are comparing it to the libraries listed below
Sorting:
- ☆25Updated 4 years ago
- ☆18Updated 6 years ago
- Code release for RobOT (ICSE'21)☆15Updated 2 years ago
- Concolic Testing for Deep Neural Networks☆120Updated 4 years ago
- ☆28Updated 2 years ago
- CC: Causality-Aware Coverage Criterion for Deep Neural Networks☆12Updated 2 years ago
- Coverage-Guided Testing of Long Short-Term Memory (LSTM) Networks☆19Updated 4 years ago
- A systematic testing tool for automatically detecting erroneous behaviors of DNN-driven vehicles☆80Updated 6 years ago
- ☆27Updated 5 years ago
- DeepCrime - Mutation Testing Tool for Deep Learning Systems☆15Updated last year
- The released code of Neurify in NIPS 2018☆49Updated 2 years ago
- ☆10Updated 2 years ago
- A collection of dnn test input prioritizers often used as benchmarks in recent literature.☆18Updated 2 years ago
- ETH Robustness Analyzer for Deep Neural Networks☆339Updated 2 years ago
- ADAPT is the open source white-box testing framework for deep neural networks☆22Updated 2 years ago
- This is the implementation repository of our incoming ESEC/FSE 2021 paper: Exposing Numerical Bugs in Deep Learning via GradientBack-prop…☆15Updated 2 years ago
- An Automatic DNN TrainingProblem Detection and Repair System☆19Updated last year
- ☆10Updated 4 years ago
- Testing Deep Neural Networks☆16Updated 7 years ago
- EvalDNN: A Toolbox for Evaluating Deep Neural Network Models☆16Updated 5 years ago
- ☆13Updated 3 years ago
- Reward Guided Test Generation for Deep Learning☆20Updated last year
- The released code of ReluVal in USENIX Security 2018☆60Updated 5 years ago
- White-box Fairness Testing through Adversarial Sampling☆13Updated 4 years ago
- DNN Coverage Based Testing Study☆16Updated 5 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
- Tools and data of the paper "Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing"☆15Updated last year
- ☆15Updated 5 years ago
- DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems☆52Updated 7 years ago
- Vision based algorithms for falsification of convolutional neural networks☆12Updated 7 years ago