Preserving geometric properties of datasets while protecting privacy
AssigneeMicrosoft Corporation
InventorsNina Mishra, Krishnaram Kenthapadi, IIya Mironov
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AssigneeMicrosoft Corporation
InventorsNina Mishra, Krishnaram Kenthapadi, IIya Mironov
Estimating the term…
The privacy of a dataset is protected. A private dataset is received that includes multiple rows of multidimensional data. Each row may correspond to a user, and each dimension may be an attribute of the user. A projection matrix is applied to each row to generate a lower dimensional sketch of the row. Noise is added to each of the lower dimensional sketches. The sketches with the added noise may be published together with the projection matrix. The sketches preserve geometric relationships of the original dataset including clustering, distances, and nearest neighbor, and therefore may be useful for data mining purposes while still protecting the privacy of the users.
A method comprising:
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Dependencies are inferred from the claim text.