Alternatives and similar repositories for pytorch-adversarial_box

Users that are interested in pytorch-adversarial_box are comparing it to the libraries listed below

• mahyarnajibi / FreeAdversarialTraining
  PyTorch Implementation of Adversarial Training for Free!
  ☆248Updated 3 years ago
• cihangxie / DI-2-FGSM
  Improving Transferability of Adversarial Examples with Input Diversity
  ☆164Updated 6 years ago
• cihangxie / NIPS2017_adv_challenge_defense
  Mitigating Adversarial Effects Through Randomization
  ☆121Updated 7 years ago
• ashafahi / free_adv_train
  Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…
  ☆175Updated last year
• jeromerony / fast_adversarial
  Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"
  ☆136Updated 4 years ago
• kkew3 / pytorch-cw2
  A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.
  ☆60Updated 7 years ago
• dongyp13 / Targeted-Adversarial-Attack
  A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition
  ☆133Updated 7 years ago
• chawins / Adversarial-Examples-Reading-List
  This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.
  ☆227Updated 5 years ago
• cg563 / simple-blackbox-attack
  Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"
  ☆198Updated 2 years ago
• dongyp13 / Non-Targeted-Adversarial-Attacks
  A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition
  ☆251Updated 5 years ago
• huanzhang12 / ZOO-Attack
  ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks
  ☆169Updated 4 years ago
• xiahaifeng1995 / adversarial-robustness
  ☆25Updated 6 years ago
• cailk / ensemble-adv-training-pytorch
  Ensemble Adversarial Training on MNIST with pytorch
  ☆20Updated 6 years ago
• dongyp13 / Adversarial-Distributional-Training
  Adversarial Distributional Training (NeurIPS 2020)
  ☆63Updated 4 years ago
• aamir-mustafa / pcl-adversarial-defense
  Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019
  ☆58Updated 5 years ago
• OmidPoursaeed / Generative_Adversarial_Perturbations
  Generative Adversarial Perturbations (CVPR 2018)
  ☆138Updated 4 years ago
• yaircarmon / semisup-adv
  Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf
  ☆142Updated 5 years ago
• ylsung / pytorch-adversarial-training
  PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
  ☆252Updated 4 years ago
• rakutentech / stAdv
  Spatially Transformed Adversarial Examples with TensorFlow
  ☆74Updated 6 years ago
• val-iisc / GD-UAP
  Generalized Data-free Universal Adversarial Perturbations
  ☆69Updated 6 years ago
• Haichao-Zhang / FeatureScatter
  Feature Scattering Adversarial Training (NeurIPS19)
  ☆73Updated last year
• dongyp13 / Translation-Invariant-Attacks
  The translation-invariant adversarial attack method to improve the transferability of adversarial examples.
  ☆141Updated last year
• greentfrapp / boundary-attack
  Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…
  ☆98Updated 4 years ago
• LiYingwei / ghost-network
  Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)
  ☆57Updated 6 years ago
• revbucket / mister_ed
  Pytorch Adversarial Attack Framework
  ☆78Updated 6 years ago
• kabkabm / defensegan
  Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
  ☆243Updated 5 years ago
• Cold-Winter / Nattack
  ☆48Updated 4 years ago
• sunblaze-ucb / decision-boundaries
  code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-
  ☆27Updated 6 years ago
• P2333 / Mixup-Inference
  Further improve robustness of mixup-trained models in inference (ICLR 2020)
  ☆60Updated 5 years ago
• walegahaha / Curls-Whey
  The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch
  ☆60Updated 6 years ago