CPC G06F 21/6254 (2013.01) [G06F 17/18 (2013.01); G06F 18/2148 (2023.01); G06N 20/00 (2019.01)] | 7 Claims |
1. A computer-implemented method for anonymized analysis of datasets comprising:
receiving data specifying a bound for an adversarial posterior belief ρc that corresponds to a likelihood to re-identify data points from a dataset based on a differentially private function output;
calculating, based on the received data, privacy parameters ε, δ which govern a differential privacy (DP) algorithm to be applied to a function to be evaluated over a dataset, the calculating being based on a ratio of probabilities distributions of different observations which are bound by the posterior belief ρc as applied to the dataset; and
applying, using the calculated privacy parameters ε, δ, the DP algorithm to the function over the dataset.
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