MadryLab / AdvEx_TutorialLinks
☆15Updated 5 years ago
Alternatives and similar repositories for AdvEx_Tutorial
Users that are interested in AdvEx_Tutorial are comparing it to the libraries listed below
Sorting:
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 6 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆80Updated last year
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆164Updated 5 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆91Updated 2 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆51Updated 5 years ago
- Adversarially Robust Neural Network on MNIST.☆63Updated 3 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆31Updated 5 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆228Updated 6 years ago
- Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"☆25Updated 5 years ago
- Caffe code for the paper "Adversarial Manipulation of Deep Representations"☆17Updated 8 years ago
- ☆70Updated 6 years ago
- ☆48Updated 5 years ago
- Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)☆94Updated 2 years ago
- ☆88Updated last year
- Learning perturbation sets for robust machine learning☆65Updated 4 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆62Updated 7 years ago
- Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …☆16Updated 6 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 4 years ago
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆129Updated 6 years ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Updated 5 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆187Updated 5 years ago
- CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks☆63Updated 4 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆65Updated 6 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆177Updated last year
- Interpretation of Neural Network is Fragile☆36Updated last year
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Updated 7 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆37Updated 3 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆44Updated 5 years ago