Alternatives and similar repositories for ThermometerEncoding

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

• iamaaditya / pixel-deflection
  Deflecting Adversarial Attacks with Pixel Deflection
  ☆71Updated 7 years ago
• labsix / adversarial-logit-pairing-analysis
  Analysis of Adversarial Logit Pairing
  ☆60Updated 7 years ago
• StephanZheng / neural-fingerprinting
  ☆30Updated 6 years ago
• MadryLab / robustness_applications
  Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"
  ☆129Updated 6 years ago
• 1202kbs / Robustness-and-Interpretability
  Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".
  ☆30Updated 6 years 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 3 years ago
• max-andr / cross-lipschitz
  Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]
  ☆18Updated 7 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆63Updated 4 years ago
• rwightman / pytorch-nips2017-attack-example
  A PyTorch baseline attack example for the NIPS 2017 adversarial competition
  ☆86Updated 8 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 7 years ago
• rwightman / pytorch-nips2017-adversarial
  NIPS 2017 Adversarial Competition in PyTorch
  ☆14Updated 7 years ago
• ZiangYan / deepdefense.pytorch
  Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness
  ☆39Updated 6 years ago
• uds-lsv / evaluating-logit-pairing-methods
  Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]
  ☆19Updated 7 years ago
• macaodha / inat_comp_2018
  CNN training code for iNaturalist 2018 image classification competition
  ☆85Updated 2 years ago
• lsgos / uncertainty-adversarial-paper
  Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'
  ☆61Updated 7 years ago
• PiotrDabkowski / pytorch-saliency
  Real-time image saliency 🌠 (NIPS 2017)
  ☆126Updated 7 years ago
• ruthcfong / net2vec
  Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
  ☆30Updated 7 years ago
• val-iisc / fast-feature-fool
  Data independent universal adversarial perturbations
  ☆63Updated 5 years ago
• huanzhang12 / Adversarial_Survey
  Robustness vs Accuracy Survey on ImageNet
  ☆99Updated 4 years ago
• MadryLab / adversarial_spatial
  Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.
  ☆49Updated 6 years ago
• layumi / Awesome-Fools
  A collection of methods to fool the deep neural network
  ☆76Updated last year
• MadryLab / robustness_lib
  ☆11Updated 6 years ago
• akshaychawla / Adversarial-Examples-in-PyTorch
  Pytorch code to generate adversarial examples on mnist and ImageNet data.
  ☆118Updated 7 years ago
• liyu95 / NN_decision_boundary
  On the decision boundary of deep neural networks
  ☆38Updated 7 years ago
• UMBCvision / fooling_network_interpretation
  Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification
  ☆24Updated 6 years ago
• hendrycks / fooling
  Code for the Adversarial Image Detectors and a Saliency Map
  ☆12Updated 8 years ago
• LTS4 / SparseFool
  A fast sparse attack on deep neural networks.
  ☆51Updated 5 years ago
• pkmr06 / pytorch-smoothgrad
  SmoothGrad implementation in PyTorch
  ☆172Updated 4 years ago
• xuanqing94 / RobGAN
  Rob-GAN: Generator, Discriminator and Adversarial Attacker
  ☆84Updated 6 years ago
• hendrycks / pre-training
  Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
  ☆100Updated 3 years ago