Alternatives and similar repositories for adv_attack_capsnet

Users that are interested in adv_attack_capsnet are comparing it to the libraries listed below

• bethgelab / adversarial-vision-challenge
  NIPS Adversarial Vision Challenge
  ☆41Updated 6 years ago
• rwightman / pytorch-nips2017-attack-example
  A PyTorch baseline attack example for the NIPS 2017 adversarial competition
  ☆86Updated 7 years ago
• facebookarchive / adversarial_image_defenses
  Countering Adversarial Image using Input Transformations.
  ☆496Updated 3 years ago
• InnerPeace-Wu / CapsNet-tensorflow
  With reconstruct, capsule representation, adversarial experiments. Implementation of NIPS2017 paper "Dynamic Routing Between Capsules" in…
  ☆75Updated 7 years ago
• ftramer / ensemble-adv-training
  Ensemble Adversarial Training on MNIST
  ☆121Updated 8 years ago
• dongyp13 / Robust-and-Explainable-Machine-Learning
  Related materials for robust and explainable machine learning
  ☆48Updated 7 years ago
• akshaychawla / Adversarial-Examples-in-PyTorch
  Pytorch code to generate adversarial examples on mnist and ImageNet data.
  ☆117Updated 6 years ago
• DmitryUlyanov / AGE
  Code for the paper "Adversarial Generator-Encoder Networks"
  ☆286Updated 6 years ago
• gongzhitaao / tensorflow-adversarial
  Crafting adversarial images
  ☆223Updated 6 years ago
• sanyam5 / arc-pytorch
  The first public PyTorch implementation of Attentive Recurrent Comparators
  ☆146Updated 7 years ago
• ptrblck / prog_gans_pytorch_inference
  PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot
  ☆321Updated 7 years ago
• MadryLab / robust-features-code
  Code for "Robustness May Be at Odds with Accuracy"
  ☆91Updated 2 years ago
• pfnet-research / nips17-adversarial-attack
  Submission to Kaggle NIPS'17 competition on adversarial examples (non-targeted adversarial attack track)
  ☆148Updated 6 years ago
• minhnhat93 / tf-SNDCGAN
  Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)
  ☆250Updated 7 years ago
• MadryLab / robustness_applications
  Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"
  ☆128Updated 5 years ago
• pluskid / fitting-random-labels
  Example code for the paper "Understanding deep learning requires rethinking generalization"
  ☆178Updated 5 years ago
• nakosung / VQ-VAE
  VQ-VAE implementation / pytorch
  ☆181Updated 7 years ago
• KellerJordan / CapsNet-Adversarial
  Capsule networks can defend against adversarial attacks using reconstruction error
  ☆13Updated 7 years ago
• poolio / unrolled_gan
  Unrolled Generative Adversarial Networks
  ☆293Updated 7 years ago
• QData / AdversarialDNN-Playground
  VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
  ☆130Updated 2 years ago
• layerwise / AAE-tensorflow
  Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)
  ☆38Updated 7 years ago
• biuyq / CT-GAN
  ☆48Updated 7 years ago
• evaluating-adversarial-robustness / adv-eval-paper
  LaTeX source for the paper "On Evaluating Adversarial Robustness"
  ☆255Updated 4 years ago
• liyu95 / NN_decision_boundary
  On the decision boundary of deep neural networks
  ☆38Updated 6 years ago
• igul222 / PixelVAE
  Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013
  ☆93Updated 7 years ago
• tolstikhin / adagan
  AdaGAN: greedy iterative procedure to train mixtures of GANs
  ☆76Updated 7 years ago
• andrewilyas / ens-adv-train-attack
  Circumventing the defense in "Ensemble Adversarial Training: Attacks and Defenses"
  ☆38Updated 7 years ago
• utkuozbulak / pytorch-cnn-adversarial-attacks
  Pytorch implementation of convolutional neural network adversarial attack techniques
  ☆360Updated 6 years ago
• takerum / vat
  Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"
  ☆110Updated 8 years ago
• MadryLab / constructed-datasets
  Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"
  ☆187Updated 4 years ago