Alternatives and similar repositories for cvpr2019-adversarial-robustness

Users that are interested in cvpr2019-adversarial-robustness are comparing it to the libraries listed below

• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 6 years ago
• davidstutz / disentangling-robustness-generalization
  CVPR'19 experiments with (on-manifold) adversarial examples.
  ☆45Updated 5 years ago
• 1202kbs / Robustness-and-Interpretability
  Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".
  ☆30Updated 6 years ago
• MadryLab / robustness_lib
  ☆11Updated 5 years ago
• ruthcfong / net2vec
  Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
  ☆30Updated 7 years ago
• 962086838 / code-for-Asymmetric-Valley
  This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".
  ☆14Updated 5 years ago
• MadryLab / dataset-replication-analysis
  ☆25Updated 5 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• anonymous003784 / Multi-View-Information-Bottleneck
  ☆10Updated 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
• fmcarlucci / ADAGE
  Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"
  ☆11Updated 5 years ago
• StephanZheng / neural-fingerprinting
  ☆29Updated 6 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 6 years ago
• ermongroup / f-wgan
  Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020
  ☆14Updated 4 years ago
• mlresearch / v97
  Proceedings of ICML 2019
  ☆33Updated 2 years ago
• XinshaoAmosWang / Improving-Mean-Absolute-Error-against-CCE
  Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters
  ☆30Updated 4 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 6 years ago
• hongyanz / TRADES-smoothing
  [JMLR] TRADES + random smoothing for certifiable robustness
  ☆14Updated 4 years ago
• odegeasslbc / pytorch-IBGAN
  A pytorch implementation of Information Bottleneck GAN
  ☆28Updated 6 years ago
• human-analysis / intrinsic-dimensionality
  PyTorch Implementation of CVPR'19 - On the Intrinsic Dimensionality of Image Representation
  ☆23Updated 5 years ago
• inspire-group / robustness-via-transport
  ☆12Updated 5 years ago
• HazyResearch / augmentation_code
  Reproducible code for Augmentation paper
  ☆17Updated 6 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• alvinchangw / IGAM_CVPR2020
  Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)
  ☆16Updated 2 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆35Updated 4 years ago
• shashankkotyan / RobustArchitectureSearch
  This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks…
  ☆18Updated last year
• vinodkkurmi / DiscriminatorDomainAdaptation
  ☆10Updated 5 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 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
• BaoWangMath / EnResNet
  ☆19Updated 5 years ago