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ResearchFormerly WizWand

Adversarial Attack on ImageNet (MIM, PGD, Auto, SAGA, MDSE)

91.4Max MIMMax MIM
28.37644.73861.177.462Sep 7, 2022
Updated 5mo ago

Evaluation results

MethodLinks
Max MIMModel 1=S-R-BP, Model 2=S-V-T52022.0991.4————
Max MIMModel 1=C-V, Model 2=S-V-T52022.0987.7————
Max MIMModel 1=C-V, Model 2=S-R-BP2022.0983.6————
Max MIMModel 1=V-L16, Model 2=S-R-BP2022.0966.1————
Max MIMModel 1=V-L16, Model 2=S-V-T52022.0965.3————
Max MIMModel 1=C152x4-512, Model 2=S-V-T52022.0934————
Max MIMModel 1=C152x4-512, Model 2=S-R-BP2022.0930.8————
Max AutoModel 1=C-V, Model 2=S-R-BP2022.09——37.4——
Max AutoModel 1=C-V, Model 2=S-V-T52022.09——45.7——
Max AutoModel 1=S-R-BP, Model 2=S-V-T52022.09——49.9——
Max AutoModel 1=V-L16, Model 2=S-R-BP2022.09——21——
Max AutoModel 1=V-L16, Model 2=S-V-T52022.09——22——
Max AutoModel 1=C152x4-512, Model 2=S-R-BP2022.09——20.5——
Max AutoModel 1=C152x4-512, Model 2=S-V-T52022.09——21.5——
Max PGDModel 1=C-V, Model 2=S-R-BP2022.09—70.8———
Max PGDModel 1=C-V, Model 2=S-V-T52022.09—79.2———
Max PGDModel 1=S-R-BP, Model 2=S-V-T52022.09—85.2———
Max PGDModel 1=V-L16, Model 2=S-R-BP2022.09—41.8———
Max PGDModel 1=V-L16, Model 2=S-V-T52022.09—42.1———
Max PGDModel 1=C152x4-512, Model 2=S-R-BP2022.09—23.4———
Max PGDModel 1=C152x4-512, Model 2=S-V-T52022.09—26.8———
MDSEModel 1=C-V, Model 2=S-R-BP2022.09————99.7
MDSEModel 1=C-V, Model 2=S-V-T52022.09————100
MDSEModel 1=S-R-BP, Model 2=S-V-T52022.09————100
MDSEModel 1=V-L16, Model 2=S-R-BP2022.09————97.3
MDSEModel 1=V-L16, Model 2=S-V-T52022.09————98.8
MDSEModel 1=C152x4-512, Model 2=S-R-BP2022.09————99.9
MDSEModel 1=C152x4-512, Model 2=S-V-T52022.09————99.9
SAGAModel 1=C-V, Model 2=S-R-BP2022.09———95.3—
SAGAModel 1=C-V, Model 2=S-V-T52022.09———98.6—
SAGAModel 1=S-R-BP, Model 2=S-V-T52022.09———99.7—
SAGAModel 1=V-L16, Model 2=S-R-BP2022.09———73.7—
SAGAModel 1=V-L16, Model 2=S-V-T52022.09———78.4—
SAGAModel 1=C152x4-512, Model 2=S-R-BP2022.09———89.2—
SAGAModel 1=C152x4-512, Model 2=S-V-T52022.09———97.3—