swa112003 / DistributionAwareDNNTestingLinks
☆10Updated 4 years ago
Alternatives and similar repositories for DistributionAwareDNNTesting
Users that are interested in DistributionAwareDNNTesting are comparing it to the libraries listed below
Sorting:
- Code release for RobOT (ICSE'21)☆15Updated 2 years ago
- ☆25Updated 4 years ago
- Tools and data of the paper "Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing"☆15Updated last year
- Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"☆49Updated 3 years ago
- ☆28Updated 2 years ago
- ☆18Updated 6 years ago
- ☆27Updated 5 years ago
- Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020☆10Updated 5 years ago
- Is Neuron Coverage a Meaningful Measure for Testing Deep Neural Networks? (FSE 2020)☆10Updated 3 years ago
- ☆11Updated 2 years ago
- Adversarial Examples on KNN (and its neural network friends)☆20Updated 5 years ago
- CC: Causality-Aware Coverage Criterion for Deep Neural Networks☆12Updated 2 years ago
- A method for training neural networks that are provably robust to adversarial attacks. [IJCAI 2019]☆10Updated 6 years ago
- The library for symbolic interval☆21Updated 5 years ago
- Concolic Testing for Deep Neural Networks☆119Updated 4 years ago
- Coverage-Guided Testing of Long Short-Term Memory (LSTM) Networks☆18Updated 4 years ago
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆98Updated 4 years ago
- [CCS 2021] TSS: Transformation-specific smoothing for robustness certification☆26Updated last year
- CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks☆63Updated 4 years ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆98Updated 2 years ago
- A systematic testing tool for automatically detecting erroneous behaviors of DNN-driven vehicles☆81Updated 6 years ago
- An Algorithm to Quantify Robustness of Recurrent Neural Networks☆49Updated 5 years ago
- ETH Robustness Analyzer for Deep Neural Networks☆340Updated 2 years ago
- The code of our paper "Misbehaviour Prediction for Autonomous Driving Systems", including our improved Udacity simulator☆22Updated 4 years ago
- Adversarial Robustness for Code☆15Updated 4 years ago
- Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"☆34Updated 5 years ago
- How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)☆13Updated 4 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆86Updated 4 years ago
- ☆18Updated 4 years ago
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆38Updated 6 years ago