ResearchBenchmarksModel Inversion Defense on Stanford Cars (private)Follow90.55AccuracyNo Def.85.40286.738588.07589.4115May 9, 2024Evaluation ResultsMethodMethodLinksAccuracyAttack AccuracyDeltaNo Def.Target Classifier=ResN...Target Classifier=ResNet-34, Public Dataset=LSUN Cars, Pre-trained Dataset=ImageNet1K2024.0590.5583.87—TL-DMITarget Classifier=ResN...Target Classifier=ResNet-34, Public Dataset=LSUN Cars, Pre-trained Dataset=ImageNet1K2024.0585.619.2513.05