Alternatives and similar repositories for awesome-machine-learning-reliability

Users that are interested in awesome-machine-learning-reliability are comparing it to the libraries listed below

• carlini / nn_breaking_detection
  Code corresponding to the paper "Adversarial Examples are not Easily Detected..."
  ☆88Updated 8 years ago
• bolunwang / translearn
  Code implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX …
  ☆20Updated 7 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
• IBM / CLEVER-Robustness-Score
  Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approac…
  ☆53Updated 7 years ago
• chenhongge / RobustTrees
  [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
  ☆68Updated 5 months ago
• max-andr / provably-robust-boosting
  Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]
  ☆50Updated 5 years ago
• chbrian / awesome-adversarial-examples-dl
  A curated list of awesome resources for adversarial examples in deep learning
  ☆265Updated 4 years ago
• ftramer / ensemble-adv-training
  Ensemble Adversarial Training on MNIST
  ☆121Updated 8 years ago
• tcwangshiqi-columbia / Interval-Attack
  Interval attacks (adversarial ML)
  ☆21Updated 6 years ago
• tianzheng4 / Distributionally-Adversarial-Attack
  AAAI 2019 oral presentation
  ☆53Updated 6 months ago
• adversarial-robustness-benchmark / adversarial-robustness-benchmark
  ☆18Updated 6 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
• uvasrg / FeatureSqueezing
  Detecting Adversarial Examples in Deep Neural Networks
  ☆68Updated 7 years ago
• robust-ml / robust-ml.github.io
  A community-run reference for state-of-the-art adversarial example defenses.
  ☆51Updated last year
• rfeinman / detecting-adversarial-samples
  Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)
  ☆111Updated 7 years ago
• labsix / adversarial-logit-pairing-analysis
  Analysis of Adversarial Logit Pairing
  ☆60Updated 7 years ago
• ftramer / MultiRobustness
  Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019
  ☆47Updated 3 years ago
• ZhaoyangLyu / POPQORN
  An Algorithm to Quantify Robustness of Recurrent Neural Networks
  ☆49Updated 5 years ago
• klasleino / gloro
  Library for training globally-robust neural networks.
  ☆31Updated 4 months 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
• ifding / adversarial-examples
  Adversarial Examples: Attacks and Defenses for Deep Learning
  ☆32Updated 7 years ago
• QData / AdversarialDNN-Playground
  VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
  ☆130Updated 2 years ago
• TenXxs / AI-Security-for-IoT-and-Mobile
  ☆49Updated 5 years ago
• huanzhang12 / Adversarial_Survey
  Robustness vs Accuracy Survey on ImageNet
  ☆99Updated 4 years ago
• MadryLab / relu_stable
  ☆26Updated 2 years ago
• Trevillie / MagNet
  MagNet: a Two-Pronged Defense against Adversarial Examples
  ☆101Updated 7 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
• columbia / pixeldp
  ☆66Updated 6 years ago
• coallaoh / WhitenBlackBox
  Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18
  ☆56Updated 6 years ago
• ysharma1126 / EAD_Attack
  EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
  ☆39Updated 7 years ago