Flag-C / ThermometerEncodingLinks
reproduction of Thermometer Encoding: One Hot Way To Resist Adversarial Examples in pytorch
☆16Updated 7 years ago
Alternatives and similar repositories for ThermometerEncoding
Users that are interested in ThermometerEncoding are comparing it to the libraries listed below
Sorting:
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Updated 7 years ago
- ☆25Updated 5 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago
- ☆29Updated 6 years ago
- NIPS 2017 Adversarial Competition in PyTorch☆14Updated 7 years ago
- Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).☆26Updated 5 years ago
- Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification☆24Updated 5 years ago
- Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]☆19Updated 6 years ago
- Deflecting Adversarial Attacks with Pixel Deflection☆71Updated 7 years ago
- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…☆55Updated 2 years ago
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆86Updated 7 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆32Updated 4 years ago
- Pytorch Adversarial Attack Framework☆78Updated 6 years ago
- Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks☆22Updated 3 years ago
- NIPS Adversarial Vision Challenge☆41Updated 6 years ago
- Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness☆39Updated 6 years ago
- ☆11Updated 5 years ago
- ☆23Updated 6 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆91Updated 2 years ago
- Python implementation for paper: Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples☆11Updated 7 years ago
- Generalized Data-free Universal Adversarial Perturbations☆69Updated 6 years ago
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 5 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Updated 5 years ago
- Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".☆30Updated 6 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 6 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆58Updated 6 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
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- ☆34Updated 6 years ago