aam-at / adversary_criticLinks
☆13Updated 5 years ago
Alternatives and similar repositories for adversary_critic
Users that are interested in adversary_critic are comparing it to the libraries listed below
Sorting:
- Related materials for robust and explainable machine learning☆48Updated 7 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆91Updated 2 years ago
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆86Updated 8 years ago
- A method for training neural networks that are provably robust to adversarial attacks.☆390Updated 3 years ago
- Pytorch code to generate adversarial examples on mnist and ImageNet data.☆117Updated 6 years ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆255Updated 4 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆186Updated 5 years ago
- Ensemble Adversarial Training on MNIST☆121Updated 8 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- NIPS Adversarial Vision Challenge☆41Updated 7 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆162Updated 5 years ago
- Tensorflow Implementation of Adversarial Attack to Capsule Networks☆173Updated 7 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆62Updated 6 years ago
- SmoothGrad implementation in PyTorch☆172Updated 4 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆31Updated 5 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018☆58Updated last year
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆128Updated 5 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆338Updated 3 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆223Updated 5 years ago
- Adversarially Robust Neural Network on MNIST.☆63Updated 3 years ago
- Pytorch implementation of convolutional neural network adversarial attack techniques☆360Updated 6 years ago
- ☆88Updated last year
- Variational Auto Encoder☆39Updated 8 years ago
- Crafting adversarial images☆222Updated 6 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆132Updated 7 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Updated 7 years ago
- Learning kernels to maximize the power of MMD tests☆210Updated 7 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆201Updated 2 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆61Updated 7 years ago