Alternatives and similar repositories for tensorflow-models:

Users that are interested in tensorflow-models are comparing it to the libraries listed below

• iamaaditya / pixel-deflection
  Deflecting Adversarial Attacks with Pixel Deflection
  ☆70Updated 6 years ago
• StephanZheng / neural-fingerprinting
  ☆29Updated 6 years ago
• rwightman / pytorch-nips2017-attack-example
  A PyTorch baseline attack example for the NIPS 2017 adversarial competition
  ☆85Updated 7 years ago
• SoojungYang / supervised_pretraining_GN_WS
  Supervised NN for pre-training. with group normalization and weight standardization
  ☆30Updated 5 years ago
• 1202kbs / Robustness-and-Interpretability
  Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".
  ☆30Updated 5 years ago
• karanchahal / SaliencyMapper
  Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857
  ☆59Updated 5 years ago
• huanzhang12 / Adversarial_Survey
  Robustness vs Accuracy Survey on ImageNet
  ☆98Updated 3 years ago
• npapernot / multiple-teachers-for-privacy
  This repository contains binaries for the multiple teacher approach to learning differential private ML models: https://arxiv.org/abs/161…
  ☆10Updated 8 years ago
• layumi / Awesome-Fools
  A collection of methods to fool the deep neural network
  ☆76Updated 7 months ago
• owkin / grad-cnns
  Code and manuscript for "Efficient Per-Example Gradient Computations in Convolutional Neural Networks"
  ☆29Updated 5 years ago
• facebookresearch / fisher_information_loss
  This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"
  ☆50Updated 3 years ago
• tohinz / SVHN-Classifier
  Simple classifier to classify SVHN images, based on Keras with the Tensorflow backend.
  ☆17Updated 7 years ago
• ilyakava / BigGAN-PyTorch
  See https://github.com/ilyakava/gan for results on Imagenet 128. Code for a Multi-Hinge Loss with K+1 Conditional GANs
  ☆24Updated 4 years ago
• snakers4 / msc-2018-final
  ☆66Updated 6 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• eBay / AutoOpt
  Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
  ☆45Updated 4 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆62Updated 4 years ago
• max-andr / cross-lipschitz
  Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]
  ☆18Updated 7 years ago
• Flag-C / ThermometerEncoding
  reproduction of Thermometer Encoding: One Hot Way To Resist Adversarial Examples in pytorch
  ☆16Updated 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
• UMBCvision / fooling_network_interpretation
  Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification
  ☆24Updated 5 years ago
• CSAILVision / IBD
  IBD: Interpretable Basis Decomposition for Visual Explanation
  ☆52Updated 6 years ago
• deepgenerativeclassifier / DeepBayes
  Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"
  ☆23Updated 5 years ago
• irapha / replayed_distillation
  Implementation of Data-free Knowledge Distillation for Deep Neural Networks (on arxiv!)
  ☆81Updated 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
• human-analysis / intrinsic-dimensionality
  PyTorch Implementation of CVPR'19 - On the Intrinsic Dimensionality of Image Representation
  ☆23Updated 5 years ago
• ujjwal-9 / Knowledge-Distillation
  Blog https://medium.com/neuralmachine/knowledge-distillation-dc241d7c2322
  ☆60Updated 6 years ago
• max-andr / provable-robustness-max-linear-regions
  Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]
  ☆32Updated 4 years ago
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆34Updated 3 years ago
• ddkang / advex-uar
  Code for "Testing Robustness Against Unforeseen Adversaries"
  ☆81Updated 9 months ago