ResearchBenchmarksImage Classification on VisDA Syn. 2017Image Classification on VisDA Syn. 2017Follow0.9941Standard AccuracyRFA0.3864280.5441890.701950.859711May 10, 2025Evaluation resultsMethodMethodLinksStandard AccuracyRobust AccuracyRFAepsilon=8/255, Attack...epsilon=8/255, Attack Type=AA2025.050.99410.3355TAROTepsilon=8/255, Attack...epsilon=8/255, Attack Type=AA2025.050.85180.5121ARTUDAepsilon=8/255, Attack...epsilon=8/255, Attack Type=AA2025.050.61430.057SROUDAepsilon=8/255, Attack...epsilon=8/255, Attack Type=AA2025.050.48560.2405PLepsilon=8/255, Attack...epsilon=8/255, Attack Type=AA2025.050.40980.2409