☆48Mar 31, 2020Updated 6 years ago
Alternatives and similar repositories for kWTA-Activation
Users that are interested in kWTA-Activation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Convex Layerwise Adversarial Training (COLT)☆29Jan 13, 2021Updated 5 years ago
- Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"☆25Feb 12, 2020Updated 6 years ago
- This repo contains the code for CVPR submission "Big but Invisible Adversarial Attack"☆31Mar 20, 2020Updated 6 years ago
- Source Code for ICRL 2018 Paper: PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples☆26Feb 6, 2020Updated 6 years ago
- hdnet - Hopfield denoising network☆15Oct 6, 2022Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆13Jun 10, 2018Updated 8 years ago
- This is the official implementation of ClusTR: Clustering Training for Robustness paper.☆21Oct 20, 2021Updated 4 years ago
- Framework to train and simulate a spiking neural network (SNN) using Brian2, that implements a learning rule that combines STDP with a gl…☆14May 1, 2018Updated 8 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 5 years ago
- Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks☆46Feb 24, 2022Updated 4 years ago
- Code for FAB-attack☆34Jul 10, 2020Updated 6 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Mar 30, 2020Updated 6 years ago
- [NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".☆49Oct 3, 2023Updated 2 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆445Jul 25, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆13Nov 10, 2019Updated 6 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆229Nov 9, 2019Updated 6 years ago
- Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)☆14Apr 8, 2020Updated 6 years ago
- [ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers☆11Mar 29, 2022Updated 4 years ago
- ☆13Jan 30, 2021Updated 5 years ago
- Self-Explaining Neural Networks☆14Jul 22, 2023Updated 3 years ago
- Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)☆42Apr 2, 2019Updated 7 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Feb 18, 2021Updated 5 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆61Jun 25, 2019Updated 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.
- This is the code for semi-supervised robust training (SRT).☆18Mar 24, 2023Updated 3 years ago
- Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.☆32Aug 30, 2021Updated 5 years ago
- ☆51Jan 7, 2022Updated 4 years ago
- Adversarial Examples on KNN (and its neural network friends)☆20Mar 19, 2020Updated 6 years ago
- ☆19Mar 5, 2018Updated 8 years ago
- Smooth Adversarial Training☆68Nov 16, 2020Updated 5 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Nov 28, 2020Updated 5 years ago
- ManifoldMixup with support for Interpolated Adversarial training☆17Mar 10, 2020Updated 6 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆59Jun 1, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Dec 21, 2020Updated 5 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
- [ECCV 2020] Pytorch codes for Open-set Adversarial Defense☆22Mar 20, 2022Updated 4 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆44Aug 3, 2020Updated 6 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆80Jul 25, 2024Updated 2 years ago
- Empirical tricks for training robust models (ICLR 2021)☆259May 25, 2023Updated 3 years ago
- Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905☆33Jan 9, 2022Updated 4 years ago