Alternatives and similar repositories for deepxplore

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

• brain-research / tensorfuzz
  A library for performing coverage guided fuzzing of neural networks
  ☆209Updated 6 years ago
• TrustAI / DeepConcolic
  Concolic Testing for Deep Neural Networks
  ☆119Updated 3 years ago
• ARiSE-Lab / deepTest
  A systematic testing tool for automatically detecting erroneous behaviors of DNN-driven vehicles
  ☆80Updated 6 years ago
• matthewwicker / SafeCV
  Vision based algorithms for falsification of convolutional neural networks
  ☆12Updated 7 years ago
• deeplearningTest / deepTest
  ☆44Updated 7 years ago
• hfeniser / DeepSmartFuzzer
  Reward Guided Test Generation for Deep Learning
  ☆20Updated 10 months ago
• LTS4 / DeepFool
  A simple and accurate method to fool deep neural networks
  ☆364Updated 5 years ago
• eth-sri / diffai
  A certifiable defense against adversarial examples by training neural networks to be provably robust
  ☆220Updated 11 months ago
• turned2670 / DLFuzz
  DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems
  ☆51Updated 7 years ago
• gongzhitaao / tensorflow-adversarial
  Crafting adversarial images
  ☆223Updated 6 years ago
• DeepImportance / deepimportance_code_release
  ☆25Updated 4 years ago
• coinse / sadl
  Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"
  ☆46Updated 3 years ago
• carlini / nn_robust_attacks
  Robust evasion attacks against neural network to find adversarial examples
  ☆831Updated 4 years ago
• carlini / nn_breaking_detection
  Code corresponding to the paper "Adversarial Examples are not Easily Detected..."
  ☆87Updated 7 years ago
• LTS4 / universal
  ☆246Updated 6 years ago
• uvasrg / FeatureSqueezing
  Detecting Adversarial Examples in Deep Neural Networks
  ☆67Updated 7 years ago
• chbrian / awesome-adversarial-examples-dl
  A curated list of awesome resources for adversarial examples in deep learning
  ☆264Updated 4 years ago
• advboxes / perceptron-benchmark
  Robustness benchmark for DNN models.
  ☆67Updated 2 years ago
• ftramer / Steal-ML
  Model extraction attacks on Machine-Learning-as-a-Service platforms.
  ☆350Updated 4 years ago
• QData / AdversarialDNN-Playground
  VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
  ☆130Updated 2 years ago
• Hyperparticle / one-pixel-attack-keras
  Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
  ☆1,227Updated last year
• mzweilin / EvadeML-Zoo
  Benchmarking and Visualization Tool for Adversarial Machine Learning
  ☆187Updated 2 years ago
• anishathalye / obfuscated-gradients
  Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
  ☆892Updated 2 years ago
• TrustAI / Literature-on-DNN-Verification-and-Testing
  ☆47Updated 6 years ago
• locuslab / convex_adversarial
  A method for training neural networks that are provably robust to adversarial attacks.
  ☆389Updated 3 years ago
• eth-sri / eran
  ETH Robustness Analyzer for Deep Neural Networks
  ☆335Updated 2 years ago
• VeriDeep / DLV
  Safety Verification of Deep Neural Networks
  ☆50Updated 7 years ago
• TrustAI / DeepCover
  Testing Deep Neural Networks
  ☆15Updated 6 years ago
• evaluating-adversarial-robustness / adv-eval-paper
  LaTeX source for the paper "On Evaluating Adversarial Robustness"
  ☆255Updated 4 years ago
• facebookarchive / adversarial_image_defenses
  Countering Adversarial Image using Input Transformations.
  ☆496Updated 3 years ago