CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
☆20Oct 12, 2021Updated 4 years ago
Alternatives and similar repositories for CIFS
Users that are interested in CIFS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆57Jul 27, 2022Updated 3 years ago
- A pytorch implementation of "Ensemble Adversarial Training : Attacks and Defenses"☆10Sep 4, 2019Updated 6 years ago
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Aug 22, 2023Updated 2 years ago
- Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…☆13Jun 29, 2020Updated 5 years ago
- [NeurIPS 2022] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"☆13Nov 11, 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 of our recently published attack FDA: Feature Disruptive Attack. Colab Notebook: https://colab.research.google.com/drive/1WhkKCrzFq5…☆21Nov 11, 2019Updated 6 years ago
- On Robustness of Neural Ordinary Differential Equations☆11Oct 12, 2021Updated 4 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆37Aug 17, 2020Updated 5 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆49Dec 30, 2021Updated 4 years ago
- [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers☆22Feb 20, 2022Updated 4 years ago
- ☆19Jun 26, 2021Updated 4 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
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆124Sep 13, 2023Updated 2 years ago
- 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
- 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.
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59May 24, 2019Updated 6 years ago
- Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.☆11Mar 9, 2021Updated 5 years ago
- Code for the Adversarial Image Detectors and a Saliency Map☆12Mar 23, 2017Updated 9 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 3 years ago
- Code for "Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling" [ICML 2021]☆10Mar 14, 2022Updated 4 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 4 years ago
- ☆12Apr 27, 2022Updated 3 years ago
- ☆12Mar 15, 2019Updated 7 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Oct 15, 2020Updated 5 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.
- Contains notebooks for the PAR tutorial at CVPR 2021.☆35Jun 29, 2021Updated 4 years ago
- Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes☆23Jun 14, 2020Updated 5 years ago
- The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2…☆50Aug 24, 2020Updated 5 years ago
- ☆14Jun 5, 2020Updated 5 years ago
- This is an official implementation of our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".☆12Jan 30, 2021Updated 5 years ago
- Official implementation of "Removing Batch Normalization Boosts Adversarial Training" (ICML'22)☆19Jul 20, 2022Updated 3 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆25Jul 25, 2024Updated last year
- Code for "Neuron Shapley: Discovering the Responsible Neurons"☆27May 1, 2024Updated last year
- Feature Scattering Adversarial Training (NeurIPS19)☆73Jun 1, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- [ECCV 2020] Pytorch codes for Open-set Adversarial Defense☆21Mar 20, 2022Updated 4 years ago
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆116Dec 30, 2021Updated 4 years ago
- ☆18Mar 24, 2023Updated 3 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Oct 24, 2019Updated 6 years ago
- [ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)☆80Oct 24, 2019Updated 6 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆56Jan 18, 2022Updated 4 years ago
- Detecting Adversarial Examples in Deep Neural Networks☆70Mar 19, 2018Updated 8 years ago