google-research / mnist-c
☆62Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for mnist-c
- A Closer Look at Accuracy vs. Robustness☆87Updated 3 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆137Updated 4 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆94Updated 3 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆60Updated 3 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 4 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆31Updated 4 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
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆89Updated 3 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆59Updated 5 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Updated 6 years ago
- ☆86Updated 3 months ago
- A way to achieve uniform confidence far away from the training data.☆36Updated 3 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 3 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆99Updated 2 years ago
- Adversarially Robust Neural Network on MNIST.☆64Updated 2 years ago
- Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength☆37Updated 4 years ago
- [ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation☆52Updated 2 months ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Updated 3 years ago
- Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs☆96Updated 3 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆54Updated 2 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆159Updated 4 years ago
- Pytorch Adversarial Attack Framework☆78Updated 5 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆85Updated 4 years ago
- Visualization of Adversarial Examples☆32Updated 6 years ago
- ☆153Updated 3 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆93Updated last year
- ☆57Updated last year