tohinz / SVHN-ClassifierLinks
Simple classifier to classify SVHN images, based on Keras with the Tensorflow backend.
☆17Updated 7 years ago
Alternatives and similar repositories for SVHN-Classifier
Users that are interested in SVHN-Classifier are comparing it to the libraries listed below
Sorting:
- ☆30Updated 6 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Updated 7 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 6 years ago
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆86Updated 8 years ago
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆129Updated 6 years ago
- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…☆55Updated 3 years ago
- ☆46Updated 6 years ago
- Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".☆30Updated 6 years ago
- reproduction of Thermometer Encoding: One Hot Way To Resist Adversarial Examples in pytorch☆16Updated 8 years ago
- Unofficial implementation of the paper 'Adversarial Training for Free'☆23Updated 6 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆29Updated 7 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆31Updated 5 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆80Updated last year
- 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
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Zero-Shot Knowledge Distillation in Deep Networks☆67Updated 3 years ago
- Interpretation of Neural Network is Fragile☆36Updated last year
- Simple object classification project with deep-learning. We choose CIFAR10, CIFAR100 and Caltech101 as training datasets.☆15Updated 8 years ago
- Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"☆31Updated 6 years ago
- Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness☆39Updated 6 years ago
- This repository is for NeurIPS 2018 spotlight paper "Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples."☆31Updated 3 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- DeepCover: Uncover the truth behind AI☆32Updated last year
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆59Updated 6 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆163Updated 5 years ago
- CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".☆14Updated 6 years ago
- SmoothGrad implementation in PyTorch☆172Updated 4 years ago
- Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (IC…☆38Updated 5 years ago
- Robustness vs Accuracy Survey on ImageNet☆99Updated 4 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆144Updated 5 years ago