robust-ml / robustml
Interfaces for defining Robust ML models and precisely specifying the threat models under which they claim to be secure.
☆62Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for robustml
- A community-run reference for state-of-the-art adversarial example defenses.☆49Updated 3 weeks ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆80Updated 3 months ago
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 5 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆31Updated 4 years ago
- Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]☆50Updated 4 years ago
- NIPS Adversarial Vision Challenge☆41Updated 6 years ago
- Pytorch Adversarial Attack Framework☆78Updated 5 years ago
- Ensemble Adversarial Training on MNIST☆121Updated 7 years ago
- Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Network…☆55Updated 5 years ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆253Updated 3 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆185Updated 4 years ago
- Efficient Robustness Verification for ReLU networks (this repository is outdated, don't use; checkout our new implementation at https://g…☆30Updated 5 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆108Updated 6 years ago
- ☆26Updated last year
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 5 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆93Updated last year
- CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks☆60Updated 3 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆63Updated 5 years ago
- Robust Vision Benchmark☆22Updated 6 years ago
- AAAI 2019 oral presentation☆50Updated 3 months ago
- Code corresponding to the paper "Adversarial Examples are not Easily Detected..."☆83Updated 7 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆40Updated 5 years ago
- Visualization of Adversarial Examples☆32Updated 6 years ago
- A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturb…☆11Updated 4 years ago
- Interval attacks (adversarial ML)☆21Updated 5 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆223Updated 5 years ago
- This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715☆152Updated 4 years ago
- Adversarially Robust Neural Network on MNIST.☆64Updated 2 years ago
- Countering Adversarial Image using Input Transformations.☆489Updated 3 years ago