robustness
stable
Training and evaluating networks via command line
Training a standard (nonrobust) model
Training a robust model (adversarial training)
Evaluating trained models
Examples
Training a non-robust ResNet-18 for the CIFAR dataset:
Training a robust ResNet-50 for the Restricted-ImageNet dataset:
Reading and analyzing training results
Input manipulation with pre-trained models
Generating Untargeted Adversarial Examples
Generating Targeted Adversarial Examples
Custom Input Manipulation (e.g. Representation Inversion)
Changing optimization methods
Advanced usage
Gradient Estimation/NES
Custom optimization methods
Using robustness as a general training library (Part 1: Getting started)
Step 1: Imports
Step 2: Dealing with arguments
Step 2.1: Setting up command-line args
Step 2.2: Sanity checks and defaults
Step 3: Creating the model, dataset, and loader
Step 4: Training the model
Using robustness as a general training library (Part 2: Customizing training)
Training networks with custom loss functions
Training networks with custom data loaders
Using LambdaLoader to train with label noise
Using TransformedLoader to train with random labels
Training networks with custom logging
Training on custom datasets
Training with custom architectures
Creating a custom dataset by superclassing ImageNet
Requirements/Setup
Basic Usage: Loading Pre-Packaged ImageNet-based Datasets
Advanced Usage (Making Custom Datasets) Part 1: Browsing the WordNet Hierarchy
Advanced Usage (Making Custom Datasets) Part 2: Making the Datasets
Creating BREEDS subpopulation shift benchmarks
Requirements/Setup
Part 1: Browsing through the Class Hierarchy
Part 2: Creating BREEDS Datasets
Part 3: Loading in-built BREEDS Datasets
CHANGELOG
robustness 1.2
robustness 1.1.post2
robustness 1.1
API Reference
robustness.attack_steps module
robustness.attacker module
robustness.data_augmentation module
robustness.datasets module
robustness.defaults module
robustness.loaders module
robustness.main module
robustness.model_utils module
robustness.train module
robustness.tools package
Submodules
robustness.tools.constants module
robustness.tools.folder module
robustness.tools.helpers module
robustness.tools.label_maps module
robustness.tools.vis_tools module
robustness.tools.breeds_helpers module
Module contents
robustness
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robustness.tools.constants module
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robustness.tools.constants module
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