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Updated Relevant papers (markdown)
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@ -43,6 +43,8 @@ Quantifying Membership Privacy via Information Leakage (2020): https://arxiv.org
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Measuring Data Leakage in Machine-Learning Models with Fisher Information (2021): https://arxiv.org/abs/2102.11673
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Using Rényi-divergence and Arimoto-Rényi Information to Quantify Membership Information Leakage (2021): https://ieeexplore.ieee.org/document/9400316
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Bounding Information Leakage in Machine Learning (2021): https://arxiv.org/pdf/2105.03875v1.pdf
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## Differential privacy for ML models:
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