Alternatives and similar repositories for mister_ed

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

• aamir-mustafa / pcl-adversarial-defense
  Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019
  ☆58Updated 5 years ago
• jeromerony / fast_adversarial
  Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"
  ☆135Updated 4 years ago
• OmidPoursaeed / Generative_Adversarial_Perturbations
  Generative Adversarial Perturbations (CVPR 2018)
  ☆138Updated 4 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…
  ☆176Updated last year
• MadryLab / robust-features-code
  Code for "Robustness May Be at Odds with Accuracy"
  ☆91Updated 2 years ago
• LiYingwei / ghost-network
  Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)
  ☆57Updated 6 years ago
• ermongroup / generative_adversary
  Code for the unrestricted adversarial examples paper (NeurIPS 2018)
  ☆64Updated 6 years ago
• val-iisc / GD-UAP
  Generalized Data-free Universal Adversarial Perturbations
  ☆69Updated 6 years ago
• rakutentech / stAdv
  Spatially Transformed Adversarial Examples with TensorFlow
  ☆74Updated 6 years ago
• MadryLab / constructed-datasets
  Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"
  ☆188Updated 4 years ago
• RanTaimu / Adversarial-Transformation-Network
  A simple implement of an Adversarial Autoencoding ATN(AAE ATN)
  ☆30Updated 8 years ago
• Haichao-Zhang / FeatureScatter
  Feature Scattering Adversarial Training (NeurIPS19)
  ☆73Updated last year
• wanglouis49 / pytorch-adversarial_box
  PyTorch library for adversarial attack and training
  ☆145Updated 6 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
• labsix / adversarial-logit-pairing-analysis
  Analysis of Adversarial Logit Pairing
  ☆60Updated 6 years ago
• aamir-mustafa / super-resolution-adversarial-defense
  Image Super-Resolution as a Defense Against Adversarial Attacks
  ☆90Updated 6 years ago
• MadryLab / adversarial_spatial
  Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.
  ☆49Updated 5 years ago
• MadryLab / blackbox-bandits
  Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"
  ☆64Updated 5 years ago
• ftramer / MultiRobustness
  Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019
  ☆47Updated 2 years ago
• rfeinman / detecting-adversarial-samples
  Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)
  ☆110Updated 7 years ago
• ftramer / ensemble-adv-training
  Ensemble Adversarial Training on MNIST
  ☆121Updated 8 years ago
• cg563 / simple-blackbox-attack
  Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"
  ☆197Updated 2 years ago
• val-iisc / fast-feature-fool
  Data independent universal adversarial perturbations
  ☆62Updated 5 years ago
• xingjunm / lid_adversarial_subspace_detection
  Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".
  ☆124Updated 4 years ago
• cihangxie / NIPS2017_adv_challenge_defense
  Mitigating Adversarial Effects Through Randomization
  ☆120Updated 7 years ago
• YyzHarry / ME-Net
  [ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
  ☆54Updated last month
• yaircarmon / semisup-adv
  Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf
  ☆142Updated 5 years ago
• tml-epfl / understanding-fast-adv-training
  Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
  ☆95Updated 3 years ago
• xiahaifeng1995 / adversarial-robustness
  ☆25Updated 5 years ago
• LTS4 / SparseFool
  A fast sparse attack on deep neural networks.
  ☆50Updated 4 years ago