hendrycks / natural-adv-examplesLinks
A Harder ImageNet Test Set (CVPR 2021)
☆610Updated last year
Alternatives and similar repositories for natural-adv-examples
Users that are interested in natural-adv-examples are comparing it to the libraries listed below
Sorting:
- Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improv…☆799Updated 2 years ago
- Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)☆517Updated 3 weeks ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,086Updated 2 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆267Updated 3 years ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆304Updated 4 years ago
- A drop-in replacement for CIFAR-10.☆241Updated 4 years ago
- A simple and effective method for detecting out-of-distribution images in neural networks.☆536Updated 3 years ago
- A new test set for ImageNet☆255Updated 2 years ago
- ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.☆512Updated 2 years ago
- ☆328Updated 2 months ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆990Updated last month
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆944Updated last year
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆347Updated 4 years ago
- A repository in preparation for open-sourcing lottery ticket hypothesis code.☆632Updated 2 years ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆255Updated 4 years ago
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆350Updated 2 months ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆227Updated 5 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆685Updated 5 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆188Updated 4 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆160Updated 5 years ago
- Pytorch implementation of convolutional neural network adversarial attack techniques☆360Updated 6 years ago
- Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)☆505Updated 2 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆223Updated 5 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆254Updated 2 years ago
- Related papers for robust machine learning☆566Updated 2 years ago
- Full-gradient saliency maps☆212Updated 2 years ago
- ☆141Updated 4 years ago
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆119Updated last year
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆128Updated 5 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆217Updated 6 years ago