Alternatives and similar repositories for ens-adv-train-attack

Users that are interested in ens-adv-train-attack are comparing it to the libraries listed below

• max-andr / provable-robustness-max-linear-regions
  Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]
  ☆32Updated 5 years ago
• ftramer / ensemble-adv-training
  Ensemble Adversarial Training on MNIST
  ☆121Updated 8 years ago
• labsix / adversarial-logit-pairing-analysis
  Analysis of Adversarial Logit Pairing
  ☆60Updated 7 years ago
• rwightman / pytorch-nips2017-attack-example
  A PyTorch baseline attack example for the NIPS 2017 adversarial competition
  ☆86Updated 8 years ago
• dongyp13 / Robust-and-Explainable-Machine-Learning
  Related materials for robust and explainable machine learning
  ☆48Updated 7 years ago
• max-andr / cross-lipschitz
  Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]
  ☆18Updated 7 years ago
• MadryLab / robust-features-code
  Code for "Robustness May Be at Odds with Accuracy"
  ☆91Updated 2 years ago
• MadryLab / adversarial_spatial
  Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.
  ☆49Updated 6 years ago
• robust-ml / robust-ml.github.io
  A community-run reference for state-of-the-art adversarial example defenses.
  ☆50Updated 11 months ago
• ysharma1126 / EAD_Attack
  EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
  ☆40Updated 6 years ago
• AlanChou / Adversarial-Training-for-Free
  Unofficial implementation of the paper 'Adversarial Training for Free'
  ☆23Updated 6 years ago
• adversarial-robustness-benchmark / adversarial-robustness-benchmark
  ☆18Updated 5 years ago
• uvasrg / FeatureSqueezing
  Detecting Adversarial Examples in Deep Neural Networks
  ☆67Updated 7 years ago
• max-andr / provably-robust-boosting
  Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]
  ☆50Updated 5 years ago
• carlini / nn_breaking_detection
  Code corresponding to the paper "Adversarial Examples are not Easily Detected..."
  ☆88Updated 7 years ago
• tianzheng4 / Distributionally-Adversarial-Attack
  AAAI 2019 oral presentation
  ☆53Updated 3 months ago
• xiaozhanguva / Cost-Sensitive-Robustness
  A general method for training cost-sensitive robust classifier
  ☆22Updated 6 years ago
• jsikyoon / adv_attack_capsnet
  Tensorflow Implementation of Adversarial Attack to Capsule Networks
  ☆172Updated 7 years ago
• bethgelab / adversarial-vision-challenge
  NIPS Adversarial Vision Challenge
  ☆41Updated 7 years ago
• akshaychawla / Adversarial-Examples-in-PyTorch
  Pytorch code to generate adversarial examples on mnist and ImageNet data.
  ☆117Updated 6 years ago
• pfnet-research / nips17-adversarial-attack
  Submission to Kaggle NIPS'17 competition on adversarial examples (non-targeted adversarial attack track)
  ☆147Updated 6 years ago
• robust-ml / robustml
  Interfaces for defining Robust ML models and precisely specifying the threat models under which they claim to be secure.
  ☆62Updated 6 years ago
• rfeinman / detecting-adversarial-samples
  Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)
  ☆111Updated 7 years ago
• kenny-co / procedural-advml
  Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)
  ☆56Updated 4 years ago
• zhengliz / natural-adversary
  Generating Natural Adversarial Examples, ICLR 2018
  ☆143Updated 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
• tcwangshiqi-columbia / Interval-Attack
  Interval attacks (adversarial ML)
  ☆21Updated 6 years ago
• deepgenerativeclassifier / DeepBayes
  Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"
  ☆23Updated 6 years ago
• iamaaditya / pixel-deflection
  Deflecting Adversarial Attacks with Pixel Deflection
  ☆71Updated 7 years ago
• huanzhang12 / ZOO-Attack
  ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks
  ☆169Updated 4 years ago