owkin / grad-cnnsLinks
Code and manuscript for "Efficient Per-Example Gradient Computations in Convolutional Neural Networks"
☆29Updated 5 years ago
Alternatives and similar repositories for grad-cnns
Users that are interested in grad-cnns are comparing it to the libraries listed below
Sorting:
- Code for "Robustness May Be at Odds with Accuracy"☆91Updated 2 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆31Updated 5 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆224Updated 5 years ago
- A drop-in replacement for CIFAR-10.☆245Updated 4 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- ☆26Updated 6 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- ☆27Updated 7 years ago
- ☆88Updated last year
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- Source for paper "Attacking Binarized Neural Networks"☆23Updated 7 years ago
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 6 years ago
- Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)☆96Updated 2 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Updated 7 years ago
- ☆11Updated 6 years ago
- Public code for a paper "Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks."☆35Updated 6 years ago
- ☆31Updated 5 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆36Updated 5 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 4 years ago
- Related materials for robust and explainable machine learning☆48Updated 7 years ago
- Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength☆38Updated 5 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
- NIPS Adversarial Vision Challenge☆41Updated 7 years ago
- Scripts for Imagenet 32 dataset☆153Updated 4 years ago
- Adversarially Robust Neural Network on MNIST.☆63Updated 3 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 7 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆186Updated 5 years ago
- Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs☆97Updated 4 years ago