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This repository is exploration of interaction between basic Membership Inference Attack (MIA), Model Inversion (MI) and Differential Privacy (DP) and Mutual Information Regularization

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superdianuj/explorations_over_privacyattacks

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DP_over_MI.ipynb
DP_over_MI.ipynb
 
 
DP_over_MIA.ipynb
DP_over_MIA.ipynb
 
 
First_model_inversion_attack.ipynb
First_model_inversion_attack.ipynb
 
 
LICENSE
LICENSE
 
 
MIA_first_model_inversion_attack.ipynb
MIA_first_model_inversion_attack.ipynb
 
 
MIA_first_model_inversion_attack_over_layers.ipynb
MIA_first_model_inversion_attack_over_layers.ipynb
 
 
MIA_over_attack_dataset_size.ipynb
MIA_over_attack_dataset_size.ipynb
 
 
MIA_over_layers.ipynb
MIA_over_layers.ipynb
 
 
MIA_shadow_attack.ipynb
MIA_shadow_attack.ipynb
 
 
MI_Mutual_information_defense.ipynb
MI_Mutual_information_defense.ipynb
 
 
README.md
README.md
 
 

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explorations_over_privacyattacks

This repository is exploration of interaction between basic Membership Inference Attack (MIA), Model Inversion (MI) and Differential Privacy (DP) and Mutual Information Regularization

Case Studies:

1. Effect of DP on MI

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2. Effect of DP on MIA

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3. MI on MNIST data

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4. Effect of mutual information regularization on MI

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5. First MI

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6. First MI from first four layers

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7. Effect of size of shadow dataset on MIA performance

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8. Effect of number of layers of given model on MIA performance

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This repository is exploration of interaction between basic Membership Inference Attack (MIA), Model Inversion (MI) and Differential Privacy (DP) and Mutual Information Regularization

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