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ResearchFormerly WizWand

Untargeted Adversarial Attack on ImageNet-compatible

100Inc-v3 PerformanceMI-FGSM

Evaluation results

Method	Links
MI-FGSM2023.06		100	51	45.8	49	22.6	22	10.9
NI-FGSM2023.06		100	61.4	59.6	57.2	22.5	22.7	11.5
VMI-FGSM2023.06		100	74.8	69.9	65.5	41.6	41.6	25
EMI-FGSM2023.06		100	80.7	77.1	72.4	33	31.9	17
PGN2023.06		100	90.6	89.5	81.2	64.6	65.6	45.3
RAP2023.06		99.9	84.5	79.3	76.5	56.9	51.3	31.9
PGN2023.06		92	92.3	99.8	83.5	74.6	71.5	66.6
PGN2023.06		91.2	99.6	87.6	83.5	67	64.2	49.1
RAP2023.06		87.1	84.2	99.4	79.4	50.3	49.8	40.2
PGN2023.06		86.2	83.3	77.8	100	63.1	62.9	50.8
RAP2023.06		85.3	99.5	79.5	77.2	45.2	46.8	29.3
EMI-FGSM2023.06		85.2	83.3	99.7	74	38.4	33.8	24.1
EMI-FGSM2023.06		84.2	99.7	75	74.4	31.5	28	16.2
RAP2023.06		80.4	75.5	68	99.9	40.3	39.9	30.4
VMI-FGSM2023.06		78.2	77	99.1	66	47.6	43.3	37.7
VMI-FGSM2023.06		77.6	99.8	69.8	66.7	41.1	41.2	27
VMI-FGSM2023.06		75	69.2	63	100	35.9	35.7	24.1
EMI-FGSM2023.06		74.3	71.7	62.6	100	25.7	24.6	13.3
NI-FGSM2023.06		62.8	100	52.7	56.7	19.2	18.3	11.7
NI-FGSM2023.06		60.3	57.1	99.5	55.3	18.3	19.3	12.1
MI-FGSM2023.06		58.2	52.4	99.3	50.7	22	22	13.8
MI-FGSM2023.06		57.2	100	46.1	51.5	19.1	18.4	10.2
NI-FGSM2023.06		55.6	46.9	40.8	100	17.5	17.6	9.2
MI-FGSM2023.06		51.5	42.2	36.3	100	18.7	16.6	9