dtak / adversarial-robustness-public
Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"
☆55Updated 2 years ago
Alternatives and similar repositories for adversarial-robustness-public:
Users that are interested in adversarial-robustness-public are comparing it to the libraries listed below
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Updated 4 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆27Updated 6 years ago
- Interval attacks (adversarial ML)☆21Updated 5 years ago
- Code for Stability Training with Noise (STN)☆21Updated 4 years ago
- [ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation☆54Updated 2 weeks ago
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 5 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆141Updated 5 years ago
- StrAttack, ICLR 2019☆33Updated 5 years ago
- ☆25Updated 5 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆62Updated 5 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 4 years ago
- Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength☆38Updated 5 years ago
- Code for NeurIPS 2019 Paper☆47Updated 4 years ago
- ☆48Updated 4 years ago
- Pytorch Adversarial Attack Framework☆78Updated 6 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆64Updated 5 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 5 years ago
- AAAI 2019 oral presentation☆50Updated 2 weeks ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆59Updated 5 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆109Updated 7 years ago
- Code for FAB-attack☆32Updated 4 years ago
- This repository is for NeurIPS 2018 spotlight paper "Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples."☆31Updated 3 years ago
- PyTorch library for adversarial attack and training☆145Updated 6 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆44Updated 5 years ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆123Updated 4 years ago
- Robustness vs Accuracy Survey on ImageNet☆98Updated 3 years ago
- Generalized Data-free Universal Adversarial Perturbations☆70Updated 6 years ago