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Gradient Leakage Attack on Tiny ImageNet

1,184.02Robbing the Fed OverheadRobbing the Fed
83.75047,510.570214,937.3922,364.2098Mar 27, 2023

Evaluation results

MethodLinks
Robbing the FedBackbone=VGG-11, Model size (MB)=506.8334, Number of clients=1000, Batch size=642023.031,184.02—
Robbing the FedBackbone=Inception v3, Model size (MB)=103.612, Number of clients=1000, Batch size=642023.035,791.79—
Robbing the FedBackbone=ResNet-50, Model size (MB)=97.4923, Number of clients=1000, Batch size=642023.036,155.35—
Robbing the FedBackbone=ResNet-18, Model size (MB)=44.5919, Number of clients=1000, Batch size=642023.0313,457.57—
Robbing the FedBackbone=MobileNet v3 (L), Model size (MB)=20.9161, Number of clients=1000, Batch size=642023.0328,690.76—
Sparse MANDRAKEBackbone=MobileNet v3 (L), Model size (MB)=20.9161, Number of clients=1000, Batch size=642023.03—87.65
Sparse MANDRAKEBackbone=ResNet-18, Model size (MB)=44.5919, Number of clients=1000, Batch size=642023.03—41.11
Sparse MANDRAKEBackbone=ResNet-50, Model size (MB)=97.4923, Number of clients=1000, Batch size=642023.03—18.8
Sparse MANDRAKEBackbone=Inception v3, Model size (MB)=103.612, Number of clients=1000, Batch size=642023.03—17.69
Sparse MANDRAKEBackbone=VGG-11, Model size (MB)=506.8334, Number of clients=1000, Batch size=642023.03—3.62