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Showing 1 to 3 of 3 for “"Privacy-preserving data analysis"”.

  1. Improving the adaptability of differential privacy

    Differential privacy is a mathematical technique that provides strong theoretical privacy guarantees by ensuring statistical indistinguishability of individuals in a dataset. It has become the de facto framework for providing privacy-preserving data analysis over statistical datasets. Differential …

    mit Repository record for Improving the adaptability of differential privacy (opens in a new tab)

  2. Assessing the Re-Identification Risk in ECG Datasets and an Application of Privacy Preserving Techniques in ECG Analysis

    … the patients and how seemingly anonymized ECG datasets can cause privacy leakages. For some hypothetical scenarios such as when a patient contributes to two different research datasets, we try to quantify the privacy risks. We estimate the probability of how uniquely and accurately one can …

    chapman Repository record for Assessing the Re-Identification Risk in ECG Datasets and an Application of Privacy Preserving Techniques in ECG Analysis (opens in a new tab)