Alternatives and similar repositories for ad-versarial

Users that are interested in ad-versarial are comparing it to the libraries listed below

• uvasrg / FeatureSqueezing
  Detecting Adversarial Examples in Deep Neural Networks
  ☆67Updated 7 years ago
• carlini / nn_breaking_detection
  Code corresponding to the paper "Adversarial Examples are not Easily Detected..."
  ☆88Updated 7 years ago
• tcwangshiqi-columbia / Interval-Attack
  Interval attacks (adversarial ML)
  ☆21Updated 6 years ago
• Lab41 / cyphercat
  Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …
  ☆103Updated 5 years ago
• trx14 / TrojanNet
  ☆86Updated last year
• ysharma1126 / EAD_Attack
  EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
  ☆40Updated 7 years ago
• tianzheng4 / Distributionally-Adversarial-Attack
  AAAI 2019 oral presentation
  ☆53Updated 3 months ago
• google-research / selfstudy-adversarial-robustness
  ☆129Updated 3 years ago
• MadryLab / backdoor_data_poisoning
  ☆26Updated 6 years ago
• superrrpotato / Defending-Neural-Backdoors-via-Generative-Distribution-Modeling
  The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749
  ☆34Updated 5 years ago
• MadryLab / relu_stable
  ☆26Updated 2 years ago
• andrewilyas / ens-adv-train-attack
  Circumventing the defense in "Ensemble Adversarial Training: Attacks and Defenses"
  ☆38Updated 7 years ago
• jagielski / manip-ml
  Code for the IEEE S&P 2018 paper 'Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning'
  ☆53Updated 4 years ago
• max-andr / provably-robust-boosting
  Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]
  ☆50Updated 5 years ago
• mzweilin / EvadeML-Zoo
  Benchmarking and Visualization Tool for Adversarial Machine Learning
  ☆188Updated 2 years ago
• inspire-group / privacy-vs-robustness
  Privacy Risks of Securing Machine Learning Models against Adversarial Examples
  ☆44Updated 5 years ago
• robust-ml / robust-ml.github.io
  A community-run reference for state-of-the-art adversarial example defenses.
  ☆50Updated 11 months ago
• ftramer / MultiRobustness
  Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019
  ☆47Updated 2 years ago
• suyeecav / model-targeted-poisoning
  code for model-targeted poisoning
  ☆12Updated last year
• eth-sri / diffai
  A certifiable defense against adversarial examples by training neural networks to be provably robust
  ☆221Updated last year
• ftramer / ensemble-adv-training
  Ensemble Adversarial Training on MNIST
  ☆121Updated 8 years ago
• rfeinman / detecting-adversarial-samples
  Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)
  ☆111Updated 7 years ago
• usnistgov / trojai-literature
  ☆148Updated 11 months 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
• coallaoh / WhitenBlackBox
  Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18
  ☆55Updated 6 years ago
• s-huu / TurningWeaknessIntoStrength
  Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength
  ☆38Updated 5 years ago
• xingjunm / lid_adversarial_subspace_detection
  Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".
  ☆125Updated 4 years ago
• suyeecav / Hybrid-Attack
  ☆24Updated 2 years ago
• labsix / limited-blackbox-attacks
  Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)
  ☆180Updated 3 years ago
• rakutentech / stAdv
  Spatially Transformed Adversarial Examples with TensorFlow
  ☆75Updated 6 years ago