Immuta, Inc.

Alfred V Rossi, Iii

Joseph J Regensburger

Mason Sharp

Kyle Thomas Lilly

Barry Ray Hammen

Andrew D Burt

Sophie Stalla-Bourdillon

A method, system and computer program product are configured to access data, the data including a plurality of attributes, classify each of the attributes into one of a plurality of classifications, receive a privacy objective and a utility objective, determine a data transformation to achieve the privacy objective and the utility objective, apply the data transformation to the data, wherein the data transformation is applied to at least one of the attributes of the data based on the classifications to produce selectively modified data, iteratively refine data transformations through adjustment of utility objectives, and present the data for disclosure.

Systems and methods for reduction of privacy risk in data

Systems and methods obtain a database query, modify the database query into a modified database query incorporating a privacy mechanism configured for randomizing an attribute value of data in an answer to the modified database query, and output the modified database query. In some embodiments, the modified database query is forwarded to a database.

Systems and methods for privacy-enhancing modification of a database query

Systems and methods for obscuring data from a data source include devices and processes that may objectively measure the information loss for the data source that is caused by applying a privacy policy, and may apply a policy to the data source based on the measured information loss. The systems and methods may measure the information loss for a large data source by taking a representative sample from the data source and applying the policy to the sample in order to quantify the information loss. The quantified information loss can be iteratively used to change the policy in order to meet utility and/or privacy goals, and the system can subsequently apply the changed policy to the data source.

Systems and methods for obscuring data from a data source

Systems and methods for obtaining a SQL query, translating the SQL into a modified SQL query incorporating a privacy mechanism, and outputting the modified SQL query incorporating the privacy mechanism. In some embodiments, the modified SQL query incorporating the privacy mechanism is forwarded to a SQL database.

Systems and methods for privacy-enhancing transformation of a SQL query

Systems and methods for obscuring data from a data source include devices and processes that may objectively measure the information loss for a dataset that is caused by applying a privacy policy, and may select and apply a policy to the dataset based on the measured information loss. The systems and methods may measure the information loss for a large dataset by taking a representative sample from the dataset and applying the policy to the sample in order to quantify the information loss. The quantified information loss can be iteratively used to change the policy in order to meet utility and/or privacy goals, and the system can subsequently apply the changed policy to the dataset.

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Hilliard, OH, United States of America

Alfred V Rossi, Iii