Alternatives and similar repositories for under_convnet

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

• MadryLab / adversarial_spatial
  Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.
  ☆49Updated 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 3 years ago
• ermongroup / generative_adversary
  Code for the unrestricted adversarial examples paper (NeurIPS 2018)
  ☆65Updated 6 years ago
• ftramer / ensemble-adv-training
  Ensemble Adversarial Training on MNIST
  ☆121Updated 8 years ago
• max-andr / cross-lipschitz
  Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]
  ☆18Updated 7 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
• val-iisc / GD-UAP
  Generalized Data-free Universal Adversarial Perturbations
  ☆73Updated 7 years ago
• val-iisc / fast-feature-fool
  Data independent universal adversarial perturbations
  ☆63Updated 5 years ago
• max-andr / provable-robustness-max-linear-regions
  Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]
  ☆31Updated 5 years ago
• labsix / adversarial-logit-pairing-analysis
  Analysis of Adversarial Logit Pairing
  ☆60Updated 7 years ago
• carlini / nn_breaking_detection
  Code corresponding to the paper "Adversarial Examples are not Easily Detected..."
  ☆88Updated 8 years ago
• pkmr06 / pytorch-smoothgrad
  SmoothGrad implementation in PyTorch
  ☆172Updated 4 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
• tabacof / adv_vae
  Adversarial Images for Variational Autoencoders
  ☆13Updated 9 years ago
• anlthms / nips-2017
  NIPS 2017 - Adversarial Learning
  ☆35Updated 8 years ago
• huanzhang12 / CLEVER
  CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks
  ☆63Updated 4 years ago
• gaussian-attack / Nattack
  ☆20Updated 5 years ago
• KaidiXu / StrAttack
  StrAttack, ICLR 2019
  ☆33Updated 6 years ago
• cetmann / robustness-interpretability
  Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …
  ☆16Updated 6 years ago
• IBM / ZOO-Attack
  Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Network…
  ☆63Updated 6 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…
  ☆177Updated last year
• xuanqing94 / BayesianDefense
  Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
  ☆62Updated 6 years ago
• gongzhitaao / adversarial-classifier
  It turns out that adversarial and clean data are not twins, not at all.
  ☆18Updated 8 years ago
• LTS4 / SparseFool
  A fast sparse attack on deep neural networks.
  ☆51Updated 5 years ago
• RanTaimu / Adversarial-Transformation-Network
  A simple implement of an Adversarial Autoencoding ATN(AAE ATN)
  ☆30Updated 8 years ago
• hendrycks / pre-training
  Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
  ☆100Updated 3 years ago
• microsoft / denoised-smoothing
  Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
  ☆99Updated 4 years ago
• yangarbiter / robust-local-lipschitz
  A Closer Look at Accuracy vs. Robustness
  ☆88Updated 4 years ago
• huanzhang12 / ZOO-Attack
  ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks
  ☆169Updated 4 years ago
• aamir-mustafa / super-resolution-adversarial-defense
  Image Super-Resolution as a Defense Against Adversarial Attacks
  ☆89Updated 6 years ago