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Image Classification on ImageNet (Accuracy and Search/Robustness Metrics)

82Accuracy

Base model

Updated 3d ago

Evaluation Results

Method	Links
Base model 2023.10		82	6.4	0	46.7	0.8	22.3	0
Randomized Feature Defense 2023.10		80.8	69.7	69.1	75	59.1	66.4	64.1
Base model 2023.10		80.37	3.5	0.2	36.2	4.3	6.6	0.4
Randomized Input Defense 2023.10		80.1	67.7	67.2	75.8	65.9	64.4	63.6
Randomized Feature Defense 2023.10		79.76	69.3	69	75.1	65.3	66	64.3
Randomized Feature Defense 2023.10		79.7	37	36	56.7	16.8	46.3	43.4
Randomized Input Defense 2023.10		79.6	66.6	66	75.7	67.1	64.9	64.3
Randomized Input Defense 2023.10		79.18	40.3	39.5	63.8	23.9	47.6	45.4
Base model 2023.10		79.15	5.7	0	45.7	7.3	5.1	0
Randomized Input Defense 2023.10		78.46	41.1	39.8	69.4	41.5	49.3	47.2
Randomized Feature Defense 2023.10		78.43	42	41.5	65.6	40.6	51.3	49.3
Randomized Input Defense 2023.10		78.28	58.8	58.1	70.8	51.4	53.1	52.2
Randomized Feature Defense 2023.10		78.2	60.6	60.2	69.1	47.5	54	52.9
Randomized Feature Defense 2023.10		77.18	63.7	62.9	72.2	58.1	57	55.3
Randomized Input Defense 2023.10		77.09	61.3	60.9	70.6	59.2	53.7	52.7
Base model 2023.10		74.21	0.1	0	19.6	0	0.4	0
Randomized Input Defense 2023.10		73.24	7.7	6.9	32.1	1.5	18.3	17
Randomized Feature Defense 2023.10		72.66	22.4	21.6	50.1	18.5	34.6	32.9
Randomized Input Defense 2023.10		71.43	18.7	17.8	47.4	11.5	28.3	27.1
Randomized Feature Defense 2023.10		71.21	23.3	22.2	55.1	28.4	36.5	32.8