项目作者: microsoft

项目描述 :
Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
高级语言: Jupyter Notebook
项目地址: git://github.com/microsoft/denoised-smoothing.git
创建时间: 2020-03-01T02:28:55Z
项目社区:https://github.com/microsoft/denoised-smoothing

开源协议:MIT License

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denoiser_finetune_smooth_res34_vs_denoiser_mse_1650000811125.pdf
denoiser_finetune_smooth_res50_vs_denoiser_mse_1650000811165.pdf
smooth_vs_clf_resnet18_1650000811213.pdf
smooth_vs_clf_resnet34_1650000811308.pdf
smooth_vs_clf_resnet50_1650000811327.pdf
total_comparison_1650000811368.pdf
1k_vs_100_1650000811422.pdf
denoiser_finetune_smooth_res18_vs_denoiser_mse_1650000811556.pdf
denoiser_finetune_smooth_res34_vs_denoiser_mse_1650000811620.pdf
denoiser_finetune_smooth_res50_vs_denoiser_mse_1650000811675.pdf
smooth_vs_clf_resnet18_1650000811747.pdf
smooth_vs_clf_resnet34_1650000811814.pdf
smooth_vs_clf_resnet50_1650000811818.pdf
total_comparison_1650000811873.pdf
denoiser_finetune_smooth_res18_vs_denoiser_mse_1650000811906.pdf
denoiser_finetune_smooth_res34_vs_denoiser_mse_1650000811945.pdf
denoiser_finetune_smooth_res50_vs_denoiser_mse_1650000812008.pdf
smooth_vs_clf_resnet18_1650000812058.pdf
smooth_vs_clf_resnet34_1650000812100.pdf
smooth_vs_clf_resnet50_1650000812136.pdf
total_comparison_1650000812155.pdf
denoiser_finetune_smooth_res18_vs_denoiser_mse_1650000812183.pdf
denoiser_finetune_smooth_res34_vs_denoiser_mse_1650000812211.pdf
denoiser_finetune_smooth_res50_vs_denoiser_mse_1650000812247.pdf
smooth_vs_clf_resnet18_1650000812265.pdf
smooth_vs_clf_resnet34_1650000812324.pdf
smooth_vs_clf_resnet50_1650000812360.pdf
total_comparison_1650000812418.pdf
readme_example_1650000812458.pdf
resnet110_90epochs_all_methods_sigma_100_1650000808680.pdf
resnet110_90epochs_all_methods_sigma_12_1650000808746.pdf
resnet110_90epochs_all_methods_sigma_25_1650000808782.pdf
resnet110_90epochs_all_methods_sigma_50_1650000808826.pdf
resnet110_90epochs_stab_vs_clf_1650000808845.pdf
resnet110_90epochs_all_methods_sigma_100_1650000808880.pdf
resnet110_90epochs_all_methods_sigma_12_1650000808933.pdf
resnet110_90epochs_all_methods_sigma_25_1650000808994.pdf
resnet110_90epochs_all_methods_sigma_50_1650000809038.pdf
resnet110_90epochs_stab_vs_clf_1650000809083.pdf
resnet110_90epochs_all_methods_sigma_100_1650000809129.pdf
resnet110_90epochs_all_methods_sigma_100_1surrogate_vs15_1650000809183.pdf
resnet110_90epochs_all_methods_sigma_12_1650000809210.pdf
resnet110_90epochs_all_methods_sigma_12_1surrogate_vs15_1650000809230.pdf
resnet110_90epochs_all_methods_sigma_25_1650000809282.pdf
resnet110_90epochs_all_methods_sigma_25_1surrogate_vs15_1650000809336.pdf
resnet110_90epochs_all_methods_sigma_50_1650000809368.pdf
resnet110_90epochs_all_methods_sigma_50_1surrogate_vs15_1650000809373.pdf
resnet110_90epochs_stab_vs_clf_1650000809424.pdf
resnet110_90epochs_all_methods_sigma_100_1650000809473.pdf
resnet110_90epochs_all_methods_sigma_100_1surrogate_vs_14_1650000809497.pdf
resnet110_90epochs_all_methods_sigma_12_1650000809525.pdf
resnet110_90epochs_all_methods_sigma_12_1surrogate_vs_14_1650000809576.pdf
resnet110_90epochs_all_methods_sigma_25_1650000809636.pdf
resnet110_90epochs_all_methods_sigma_25_1surrogate_vs_14_1650000809666.pdf
resnet110_90epochs_all_methods_sigma_50_1650000809703.pdf
resnet110_90epochs_all_methods_sigma_50_1surrogate_vs_14_1650000809725.pdf
resnet110_90epochs_stab_vs_clf_1650000809805.pdf
MODEL_resnet18_Stab_vs_Clf_1650000809878.pdf
MODEL_resnet18_all_methods_stability_sigma_100_1650000810087.pdf
MODEL_resnet18_all_methods_stability_sigma_25_1650000810117.pdf
MODEL_resnet18_all_methods_stability_sigma_50_1650000810139.pdf
MODEL_resnet34_Stab_vs_Clf_1650000810167.pdf
MODEL_resnet34_all_methods_stability_sigma_100_1650000810207.pdf
MODEL_resnet34_all_methods_stability_sigma_25_1650000810260.pdf
MODEL_resnet34_all_methods_stability_sigma_50_1650000810297.pdf
MODEL_resnet50_Stab_vs_Clf_1650000810346.pdf
MODEL_resnet50_all_methods_stability_sigma_100_1650000810392.pdf
MODEL_resnet50_all_methods_stability_sigma_25_1650000810419.pdf
MODEL_resnet50_all_methods_stability_sigma_50_1650000810468.pdf
MODEL_resnet18_stability_sigma_100_with_surrogate_1650000810520.pdf
MODEL_resnet18_stability_sigma_25_with_surrogate_1650000810554.pdf
MODEL_resnet18_stability_sigma_50_with_surrogate_1650000810604.pdf
MODEL_resnet34_stability_sigma_100_with_surrogate_1650000810644.pdf
MODEL_resnet34_stability_sigma_25_with_surrogate_1650000810701.pdf
MODEL_resnet34_stability_sigma_50_with_surrogate_1650000810801.pdf
MODEL_resnet50_stability_sigma_100_with_surrogate_1650000810895.pdf
MODEL_resnet50_stability_sigma_25_with_surrogate_1650000810921.pdf
MODEL_resnet50_stability_sigma_50_with_surrogate_1650000810972.pdf
denoiser_finetune_smooth_res18_vs_denoiser_mse_1650000811031.pdf