Alternatives and similar repositories for Adverserial_Attack:

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

• henry8527 / GCE
  [ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy
  ☆40Updated 5 years ago
• walegahaha / Curls-Whey
  The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch
  ☆60Updated 5 years ago
• aamir-mustafa / pcl-adversarial-defense
  Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019
  ☆59Updated 5 years ago
• RanTaimu / Adversarial-Transformation-Network
  A simple implement of an Adversarial Autoencoding ATN(AAE ATN)
  ☆30Updated 7 years ago
• wanglouis49 / pytorch-adversarial_box
  PyTorch library for adversarial attack and training
  ☆145Updated 6 years ago
• jeromerony / fast_adversarial
  Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"
  ☆134Updated 4 years ago
• huanzhang12 / Adversarial_Survey
  Robustness vs Accuracy Survey on ImageNet
  ☆98Updated 3 years ago
• rakutentech / stAdv
  Spatially Transformed Adversarial Examples with TensorFlow
  ☆74Updated 6 years ago
• revbucket / mister_ed
  Pytorch Adversarial Attack Framework
  ☆78Updated 5 years ago
• dtak / adversarial-robustness-public
  Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…
  ☆55Updated 2 years ago
• val-iisc / GD-UAP
  Generalized Data-free Universal Adversarial Perturbations
  ☆70Updated 6 years ago
• val-iisc / fast-feature-fool
  Data independent universal adversarial perturbations
  ☆61Updated 5 years ago
• LiYingwei / ghost-network
  Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)
  ☆59Updated 6 years ago
• xiahaifeng1995 / adversarial-robustness
  ☆25Updated 5 years ago
• LTS4 / SparseFool
  A fast sparse attack on deep neural networks.
  ☆50Updated 4 years ago
• rwightman / pytorch-nips2017-attack-example
  A PyTorch baseline attack example for the NIPS 2017 adversarial competition
  ☆85Updated 7 years ago
• tianzheng4 / Distributionally-Adversarial-Attack
  AAAI 2019 oral presentation
  ☆50Updated 8 months ago
• ftramer / ensemble-adv-training
  Ensemble Adversarial Training on MNIST
  ☆121Updated 7 years ago
• labsix / adversarial-logit-pairing-analysis
  Analysis of Adversarial Logit Pairing
  ☆60Updated 6 years ago
• ysharma1126 / caad_18
  CAAD 2018 winning submissions
  ☆35Updated 6 years ago
• BXuan694 / Universal-Adversarial-Perturbation
  This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)
  ☆43Updated 5 years ago
• aamir-mustafa / super-resolution-adversarial-defense
  Image Super-Resolution as a Defense Against Adversarial Attacks
  ☆91Updated 6 years ago
• xuanqing94 / RobGAN
  Rob-GAN: Generator, Discriminator and Adversarial Attacker
  ☆84Updated 5 years ago
• P2333 / Mixup-Inference
  Further improve robustness of mixup-trained models in inference (ICLR 2020)
  ☆60Updated 4 years ago
• iamaaditya / pixel-deflection
  Deflecting Adversarial Attacks with Pixel Deflection
  ☆70Updated 6 years ago
• PKUAI26 / AT-CNN
  Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks
  ☆66Updated 5 years ago
• ysharma1126 / EAD_Attack
  EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
  ☆40Updated 6 years ago
• BardOfCodes / universal_pytorch
  Pytorch implementation of Universal Adverserial Perturbation and Fast Feature Fool
  ☆22Updated 5 years ago
• LiYingwei / Regional-Homogeneity
  Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)
  ☆41Updated 5 years ago
• cihangxie / NIPS2017_adv_challenge_defense
  Mitigating Adversarial Effects Through Randomization
  ☆119Updated 7 years ago