Alternatives and similar repositories for stAdv

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

• jeromerony / fast_adversarial
  Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"
  ☆137Updated 5 years ago
• fra31 / fab-attack
  Code for FAB-attack
  ☆34Updated 5 years ago
• revbucket / mister_ed
  Pytorch Adversarial Attack Framework
  ☆78Updated 6 years ago
• MadryLab / blackbox-bandits
  Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"
  ☆64Updated 5 years ago
• thong3le / blackbox-attack
  Blackbox attacks for deep neural network models
  ☆70Updated 7 years ago
• val-iisc / GD-UAP
  Generalized Data-free Universal Adversarial Perturbations
  ☆73Updated 7 years ago
• ermongroup / generative_adversary
  Code for the unrestricted adversarial examples paper (NeurIPS 2018)
  ☆65Updated 6 years ago
• aamir-mustafa / pcl-adversarial-defense
  Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019
  ☆58Updated 6 years ago
• LiYingwei / ghost-network
  Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)
  ☆58Updated 6 years ago
• Haichao-Zhang / FeatureScatter
  Feature Scattering Adversarial Training (NeurIPS19)
  ☆74Updated last year
• Cold-Winter / Nattack
  ☆48Updated 4 years ago
• OmidPoursaeed / Generative_Adversarial_Perturbations
  Generative Adversarial Perturbations (CVPR 2018)
  ☆139Updated 5 years ago
• RanTaimu / Adversarial-Transformation-Network
  A simple implement of an Adversarial Autoencoding ATN(AAE ATN)
  ☆30Updated 8 years ago
• huanzhang12 / ZOO-Attack
  ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks
  ☆170Updated 4 years ago
• karandwivedi42 / adversarial
  Pytorch - Adversarial Training
  ☆26Updated 7 years ago
• xingjunm / lid_adversarial_subspace_detection
  Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".
  ☆125Updated 5 years ago
• KaidiXu / StrAttack
  StrAttack, ICLR 2019
  ☆33Updated 6 years ago
• cihangxie / NIPS2017_adv_challenge_defense
  Mitigating Adversarial Effects Through Randomization
  ☆120Updated 7 years ago
• kkew3 / pytorch-cw2
  A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.
  ☆60Updated 7 years ago
• ftramer / MultiRobustness
  Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019
  ☆47Updated 3 years ago
• MadryLab / constructed-datasets
  Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"
  ☆187Updated 5 years ago
• wanglouis49 / pytorch-adversarial_box
  PyTorch library for adversarial attack and training
  ☆145Updated 6 years ago
• tianzheng4 / Distributionally-Adversarial-Attack
  AAAI 2019 oral presentation
  ☆53Updated 7 months ago
• LTS4 / SparseFool
  A fast sparse attack on deep neural networks.
  ☆51Updated 5 years ago
• YyzHarry / ME-Net
  [ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
  ☆54Updated 2 months ago
• yaircarmon / semisup-adv
  Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf
  ☆141Updated 5 years ago
• cg563 / simple-blackbox-attack
  Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"
  ☆200Updated 2 years ago
• xuanqing94 / RobGAN
  Rob-GAN: Generator, Discriminator and Adversarial Attacker
  ☆84Updated 6 years ago
• Bai-Li / STN-Code
  Code for Stability Training with Noise (STN)
  ☆22Updated 5 years ago
• sunblaze-ucb / decision-boundaries
  code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-
  ☆29Updated 7 years ago