Immuta, Inc.

Battelle Memorial Institute

Atherton, Eric

Flaherty, Lucinda

Regensbuger, Joseph

Aderholdt, Matthew

Cochran, Joseph

Joseph J Regensburger

Alfred V Rossi, Iii

Joseph Matthew Cochran

Matthew Robert Aderholdt

Lucinda Flaherty

Mason Sharp

Kyle Thomas Lilly

Eric Atherton

Daniel M Bornman

Brian A Young

Barry Ray Hammen

Andrew D Burt

Scott C Nelson

Seth A Faith

Jared M Schuetter

Aaron J Sander

Steven Touw

James Leonard Klucar, Jr

John Reilly Murray

Alfred Vincent Rossi

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, methods, and computer program products are configured to apply k-anonymity to an answer to a query sent to a relational database. A query to the relational database is obtained, the relational database containing a plurality of records. A frequency of occurrence of the attributes in the relational database is determined, an anonymization rule set is created based on the frequency of occurrence of the attributes, the anonymization rule set defining which attributes are to be suppressed in the answer to the query, the anonymization rule set is used to generate the answer to the query, wherein the answer to the query has k-anonymity, and a display or other device is controlled based on the answer to the query.

Systems and methods to enhance privacy through decision tree based suppression rules on relational databases

A test article containing test objects for assessing and evaluating an image producing x-ray computed tomography system, includes: an exterior shell assembly surrounding an inner volume; a base assembly comprising a flat base portion; a support structure comprising one or more partitions configured to support the test objects, a pair of component supports configured to support an angled bar test object, and one or more brackets configured to attach to at least one of: a partition and the flat base portion; an object length test object connected to the one or more partitions; an angled bar test object connected to the pair of component supports; an NEQ test object comprising a support extension with a threaded attachment configured to connect to a threaded attachment on another test object; and an acetal cylinder test object comprising two threaded mounting extensions and configured to support at least one metal annular device.

Image quality test article

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

A dosimeter assembly being placed within an inner volume of a test article for evaluating an image produced by an x-ray computed tomography (CT) system. The dosimeter assembly includes: a dosimeter having a display, a dosimeter shelf that supports the dosimeter; and an alignment bracket that positions the dosimeter on the dosimeter shelf. The dosimeter shelf is operable to be mounted within the x-ray computed tomography system test article, and the display of the dosimeter is viewable through a dosimeter window which is disposed at a front end of the x-ray computed tomography system test article, wherein the dosimeter assembly is accessible through an access panel directly beneath the dosimeter assembly, the access panel being an opening which is disposed on a base of the x-ray computer tomography system test article. The dosimeter is operably connected to a connection interface which is configured to exchange communication with an external device.

Image quality test article set

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.

Systems, methods, and manufactures for enhancing the determination of differential privacy query results. Implementations may include a database; a result cache; a processor; and a media storing instructions that, when executed by the processor, cause the system to perform operations that include obtaining a query of the database; determining that a specificity of the query exceeds a specificity threshold; determining that the result cache lacks any query results of previous queries that are substantially equivalent to the query; partitioning the database into a plurality of groups; determining a query result by executing the query on the plurality of groups; determining a sensitivity of the query and a nominal measurement of the query; determining a noisy result by adding noise to the query result based on the sensitivity and the nominal measurement; storing the noisy result in the result cache; and providing the noisy result in response to the query.

Calculating differentially private queries using local sensitivity on time variant databases

Systems, methods, and apparatuses are provided for evaluating an image quality of an image produced by an x-ray computed tomography (CT) system. The system includes at least one test article configured to support one or more test objects within an inner volume. The test article includes an exterior shell assembly, a base assembly, a support structure.

Short Tandem Repeats are currently used by law enforcement and others, for example, for the identification of individuals by DNA matching. A method is described herein that uses WPD to classify and identify repeating sequences in nucleotide sequences from the position and frequency information contained within nucleotide sequences. This decomposition allows for the quick classification of nucleotide sequences (i.e., reads) into two different classes, including, for example, one class that contains sequencer reads that contain a repeat motif with non-repeat sequence on either flank, and another class that contains sequencer reads that do not contain any repeat sequence.

Growing community of inventors

Grove City, OH, United States of America

Joseph J Regensburger