├── .gitignore ├── GD-UAP-overview-latest-variation.png ├── README.md ├── classification ├── classification_example.png ├── data │ ├── make_gaussian_noise.py │ └── make_preprocessed_data.py ├── evaluate.py ├── perturbations │ └── download_perturbations.sh ├── readme.md ├── tensorflow-classification │ ├── .gitignore │ ├── .gitrepo │ ├── README.md │ ├── classify.py │ ├── misc │ │ ├── .layers_2.py.swp │ │ ├── __init__.py │ │ ├── convert_weights.py │ │ ├── ilsvrc_synsets.txt │ │ ├── layers.py │ │ ├── sample.jpg │ │ └── utils.py │ └── nets │ │ ├── __init__.py │ │ ├── caffenet.py │ │ ├── googlenet.py │ │ ├── inception_v3.py │ │ ├── resnet_152.py │ │ ├── resnet_50.py │ │ ├── vgg_16.py │ │ ├── vgg_19.py │ │ └── vgg_f.py ├── train.py ├── utils │ ├── __init__.py │ ├── functions.py │ ├── ilsvrc_test.txt │ ├── ilsvrc_test_gt.txt │ ├── ilsvrc_train.txt │ ├── losses.py │ └── pascal_val.txt └── weights │ └── download_weights.sh ├── depth_estimation ├── data │ ├── make_gaussian_noise.py │ └── make_preprocessed_data.py ├── depth_example.png ├── get_outputs.py ├── monodepth_files │ ├── eval_mean.py │ ├── eval_test.py │ ├── evaluate_kitti.py │ ├── evaluation_utils.py │ ├── filenames │ │ ├── eigen_test_files.txt │ │ ├── eigen_train_files.txt │ │ └── eigen_val_files.txt │ ├── get_model.sh │ └── monodepth_model.py ├── perturbations │ ├── download_perturbations.sh │ └── get0.py ├── readme.md ├── train.py ├── utils │ ├── __init__.py │ ├── functions.py │ ├── losses.py │ ├── places205_val.txt │ └── tf_utils.py └── weights │ └── download_weights.sh ├── download_all_perturbations.sh ├── download_all_weights.sh ├── gd_uap_overview.png └── segmentation ├── data ├── make_gaussian_noise.py └── make_preprocessed_data.py ├── get_outputs.py ├── nets ├── __init__.py ├── deeplab_large_fov.py ├── deeplab_resnet.py ├── fcn8s_vgg16.py └── fcn_alexnet.py ├── perturbations └── download_perturbations.sh ├── readme.md ├── seg_example.png ├── seg_metrics ├── demo.py ├── pascal_voc_util.pkl ├── 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