Book ; Online: A Polynomial Time, Pure Differentially Private Estimator for Binary Product Distributions
2023
Abstract: We present the first $\varepsilon$-differentially private, computationally efficient algorithm that estimates the means of product distributions over $\{0,1\}^d$ accurately in total-variation distance, whilst attaining the optimal sample complexity to ... ...
Abstract | We present the first $\varepsilon$-differentially private, computationally efficient algorithm that estimates the means of product distributions over $\{0,1\}^d$ accurately in total-variation distance, whilst attaining the optimal sample complexity to within polylogarithmic factors. The prior work had either solved this problem efficiently and optimally under weaker notions of privacy, or had solved it optimally while having exponential running times. |
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Keywords | Computer Science - Data Structures and Algorithms ; Computer Science - Cryptography and Security ; Computer Science - Machine Learning ; Statistics - Machine Learning |
Publishing date | 2023-04-13 |
Publishing country | us |
Document type | Book ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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