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madrylab/
robust-imagenet-models

Name: robust-imagenet-models
Availability: InStock

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Overview

This repository contains the robust ImageNet models used in our paper "Do adversarially robust imagenet models transfer better?".

See our papers's GitHub repository for more details!

Model	ε=0	ε=0.01	ε=0.03	ε=0.05	ε=0.1	ε=0.25	ε=0.5	ε=1.0	ε=3.0	ε=5.0
ResNet-18	69.79	69.90	69.24	69.15	68.77	67.43	65.49	62.32	53.12	45.59
ResNet-50	75.80	75.68	75.76	75.59	74.78	74.14	73.16	70.43	62.83	56.13
Wide-ResNet-50-2	76.97	77.25	77.26	77.17	76.74	76.21	75.11	73.41	66.90	60.94
Wide-ResNet-50-4	77.91	78.02	77.87	77.77	77.64	77.10	76.52	75.51	69.67	65.20

Model	ε=0.5/255	ε=1/255	ε=2/255	ε=4/255	ε=8/255
ResNet-18	66.13	63.46	59.63	52.49	42.11
ResNet-50	73.73	72.05	69.10	63.86	54.53
Wide-ResNet-50-2	75.82	74.65	72.35	68.41	60.82