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
  ☆68Updated 7 years ago
• tcwangshiqi-columbia / Interval-Attack
  Interval attacks (adversarial ML)
  ☆21Updated 6 years ago
• trx14 / TrojanNet
  ☆87Updated 2 years ago
• carlini / nn_breaking_detection
  Code corresponding to the paper "Adversarial Examples are not Easily Detected..."
  ☆88Updated 8 years ago
• google-research / selfstudy-adversarial-robustness
  ☆129Updated 3 years ago
• max-andr / provably-robust-boosting
  Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]
  ☆50Updated 5 years ago
• labsix / limited-blackbox-attacks
  Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)
  ☆180Updated 4 years ago
• ysharma1126 / EAD_Attack
  EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
  ☆39Updated 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
• ftramer / MultiRobustness
  Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019
  ☆47Updated 2 years ago
• tianzheng4 / Distributionally-Adversarial-Attack
  AAAI 2019 oral presentation
  ☆53Updated 5 months ago
• Lab41 / cyphercat
  Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …
  ☆103Updated 6 years ago
• mzweilin / EvadeML-Zoo
  Benchmarking and Visualization Tool for Adversarial Machine Learning
  ☆189Updated 2 years ago
• softsys4ai / athena
  Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks
  ☆44Updated 4 years ago
• xiaozhanguva / Cost-Sensitive-Robustness
  A general method for training cost-sensitive robust classifier
  ☆22Updated 6 years ago
• suyeecav / Hybrid-Attack
  ☆24Updated 2 years ago
• robust-ml / robust-ml.github.io
  A community-run reference for state-of-the-art adversarial example defenses.
  ☆50Updated last year
• rfeinman / detecting-adversarial-samples
  Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)
  ☆111Updated 7 years ago
• locuslab / breaking-poisoned-classifier
  Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"
  ☆26Updated 3 years ago
• MadryLab / relu_stable
  ☆26Updated 2 years ago
• IBM / EAD-Attack
  Codes for reproducing the white-box adversarial attacks in “EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples,” …
  ☆21Updated 7 years ago
• MadryLab / backdoor_data_poisoning
  ☆26Updated 6 years ago
• inspire-group / privacy-vs-robustness
  Privacy Risks of Securing Machine Learning Models against Adversarial Examples
  ☆45Updated 5 years ago
• sam-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆39Updated 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
• Bai-Li / STN-Code
  Code for Stability Training with Noise (STN)
  ☆22Updated 4 years ago
• xingjunm / lid_adversarial_subspace_detection
  Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".
  ☆125Updated 5 years ago
• ftramer / ensemble-adv-training
  Ensemble Adversarial Training on MNIST
  ☆121Updated 8 years ago
• fra31 / fab-attack
  Code for FAB-attack
  ☆34Updated 5 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