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README.md

About

Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models.

Usage

membership_inference_attacks.py contains the core attack code
In each folder, MIA_evaluate.py performs attacks against target machine learning classifiers.

If you want to compute the privacy risk score, first import privacy_risk_score_utils.py; after initializing the attack class in MIA_evaluate.py, add risk_score = calculate_risk_score(MIA.s_tr_m_entr, MIA.s_te_m_entr, MIA.s_tr_labels, MIA.s_te_labels, MIA.t_tr_m_entr, MIA.t_tr_labels)

About

Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models

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