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
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Apr 13, 2021Updated 5 years ago
- [NeurIPS 2022] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"☆13Nov 11, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 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
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆37Aug 17, 2020Updated 5 years ago
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆11Feb 5, 2020Updated 6 years ago
- [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers☆22Feb 20, 2022Updated 4 years ago
- ☆19Jun 26, 2021Updated 4 years ago
- A pytorch implementation of "Adversarial Examples in the Physical World"☆18Sep 4, 2019Updated 6 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
- 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
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 3 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 4 years ago
- The official pytorch implementation of ACM MM 19 paper "MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks"☆11Jun 7, 2021Updated 4 years ago
- ☆12Mar 15, 2019Updated 7 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Oct 15, 2020Updated 5 years ago
- Contains notebooks for the PAR tutorial at CVPR 2021.☆35Jun 29, 2021Updated 4 years ago
- Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]☆28Jun 27, 2022Updated 3 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Aug 3, 2020Updated 5 years ago
- ☆22Jul 28, 2020Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Pytorch Codes for Beginner☆34Mar 1, 2020Updated 6 years ago
- ☆12Sep 22, 2023Updated 2 years ago
- ☆35Dec 9, 2020Updated 5 years ago
- Code for "Neuron Shapley: Discovering the Responsible Neurons"☆27May 1, 2024Updated 2 years ago
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆58Sep 4, 2019Updated 6 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆73Jun 1, 2024Updated last year
- [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
- UTS Person-reID Practical By Zhedong Zheng☆18Sep 6, 2018Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆19Mar 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
- Challenging label noise called BadLabel; Robust label-noise learning called Robust DivideMix☆12Jan 29, 2024Updated 2 years ago
- Detecting Adversarial Examples in Deep Neural Networks☆70Mar 19, 2018Updated 8 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆552Mar 30, 2023Updated 3 years ago