Alternatives and similar repositories for breaking_defensive_distillation

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

• tianzheng4 / Distributionally-Adversarial-Attack
  AAAI 2019 oral presentation
  ☆50Updated 3 weeks ago
• carlini / nn_breaking_detection
  Code corresponding to the paper "Adversarial Examples are not Easily Detected..."
  ☆86Updated 7 years ago
• rfeinman / detecting-adversarial-samples
  Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)
  ☆109Updated 7 years ago
• xingjunm / lid_adversarial_subspace_detection
  Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".
  ☆123Updated 4 years ago
• huanzhang12 / CLEVER
  CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks
  ☆61Updated 3 years ago
• ftramer / ensemble-adv-training
  Ensemble Adversarial Training on MNIST
  ☆121Updated 7 years ago
• revbucket / mister_ed
  Pytorch Adversarial Attack Framework
  ☆78Updated 6 years ago
• ermongroup / generative_adversary
  Code for the unrestricted adversarial examples paper (NeurIPS 2018)
  ☆64Updated 5 years ago
• Gwinhen / AmI
  This repository is for NeurIPS 2018 spotlight paper "Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples."
  ☆31Updated 3 years ago
• kkew3 / pytorch-cw2
  A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.
  ☆60Updated 6 years ago
• max-andr / provable-robustness-max-linear-regions
  Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]
  ☆32Updated 4 years ago
• nesl / adversarial_genattack
  ☆54Updated 2 years ago
• RanTaimu / Adversarial-Transformation-Network
  A simple implement of an Adversarial Autoencoding ATN(AAE ATN)
  ☆30Updated 7 years ago
• sunblaze-ucb / transferability-advdnn-pub
  Public repo for transferability ICLR 2017 paper
  ☆52Updated 6 years ago
• mzweilin / EvadeML-Zoo
  Benchmarking and Visualization Tool for Adversarial Machine Learning
  ☆187Updated 2 years ago
• uvasrg / FeatureSqueezing
  Detecting Adversarial Examples in Deep Neural Networks
  ☆67Updated 7 years ago
• val-iisc / GD-UAP
  Generalized Data-free Universal Adversarial Perturbations
  ☆69Updated 6 years ago
• Bai-Li / STN-Code
  Code for Stability Training with Noise (STN)
  ☆22Updated 4 years ago
• tcwangshiqi-columbia / Interval-Attack
  Interval attacks (adversarial ML)
  ☆21Updated 5 years ago
• huanzhang12 / ZOO-Attack
  ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks
  ☆169Updated 3 years ago
• MadryLab / robust-features-code
  Code for "Robustness May Be at Odds with Accuracy"
  ☆91Updated 2 years ago
• thong3le / blackbox-attack
  Blackbox attacks for deep neural network models
  ☆70Updated 6 years ago
• labsix / adversarial-logit-pairing-analysis
  Analysis of Adversarial Logit Pairing
  ☆60Updated 6 years ago
• labsix / limited-blackbox-attacks
  Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)
  ☆178Updated 3 years ago
• ashafahi / inceptionv3-transferLearn-poison
  Attacking a dog vs fish classification that uses transfer learning inceptionV3
  ☆70Updated 7 years ago
• MadryLab / adversarial_spatial
  Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.
  ☆49Updated 5 years ago
• fra31 / fab-attack
  Code for FAB-attack
  ☆32Updated 4 years ago
• rakutentech / stAdv
  Spatially Transformed Adversarial Examples with TensorFlow
  ☆74Updated 6 years ago
• cihangxie / NIPS2017_adv_challenge_defense
  Mitigating Adversarial Effects Through Randomization
  ☆120Updated 7 years ago
• sunblaze-ucb / blackbox-attacks
  Code used in 'Exploring the Space of Black-box Attacks on Deep Neural Networks' (https://arxiv.org/abs/1712.09491)
  ☆61Updated 7 years ago