Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"
☆55Dec 4, 2022Updated 3 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the Adversarial Image Detectors and a Saliency Map☆12Mar 23, 2017Updated 9 years ago
- Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…☆13Jun 29, 2020Updated 5 years ago
- Code for "Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors"☆13Sep 27, 2018Updated 7 years ago
- A tensorflow implementation and improvement of CVPR 2019 paper 'ComDefend'.☆15Apr 13, 2020Updated 6 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆761May 3, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆11Feb 5, 2020Updated 6 years ago
- Scaleable input gradient regularization☆22Jul 8, 2019Updated 6 years ago
- Ensemble Adversarial Training on MNIST with pytorch☆20Apr 17, 2019Updated 7 years ago
- Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …☆16May 9, 2019Updated 6 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 3 years ago
- ☆19Jun 26, 2021Updated 4 years ago
- ☆113Nov 21, 2022Updated 3 years ago
- Codes for ICCV 2021 paper "AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Met…☆12Mar 3, 2022Updated 4 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Dec 8, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- This repository is for NeurIPS 2018 spotlight paper "Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples."☆32Apr 27, 2022Updated 3 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆59Jul 7, 2020Updated 5 years ago
- Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)☆16Mar 24, 2023Updated 3 years ago
- Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness☆39Jan 30, 2019Updated 7 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Aug 8, 2019Updated 6 years ago
- [TPAMI] "Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search"…☆17Jan 4, 2023Updated 3 years ago
- Code for computing the hidden biases in deep networks and its applications☆14Feb 23, 2023Updated 3 years ago
- Pytorch Adversarial Attack Framework☆78Apr 27, 2019Updated 6 years ago
- Code for "Adversarial Defense by Stratified Convolutional Sparse Coding"☆19Jul 27, 2019Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A simple and accurate method to fool deep neural networks☆363Mar 31, 2020Updated 6 years ago
- ICCV 2021 papers and code focus on adversarial attacks and defense☆11Nov 5, 2021Updated 4 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆684Dec 31, 2019Updated 6 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆510Aug 30, 2021Updated 4 years ago
- 'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation☆11Jul 15, 2020Updated 5 years ago
- reanalysis of the ObjectNet paper and our annotations and code☆16Mar 4, 2021Updated 5 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Nov 28, 2020Updated 5 years ago
- Interpretation of Neural Network is Fragile☆37May 1, 2024Updated last year
- Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2…☆23Nov 23, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection☆20Oct 12, 2021Updated 4 years ago
- Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …☆19Apr 26, 2023Updated 2 years ago
- [NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: …☆48Dec 30, 2021Updated 4 years ago
- The official implementation of paper "Can Textual Gradient Work in Federated Learning?" accepted at ICLR 2025☆16Mar 10, 2025Updated last year
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆45Aug 29, 2021Updated 4 years ago
- ☆19Mar 24, 2023Updated 3 years ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆123Nov 4, 2020Updated 5 years ago