Patents by Inventor Eitan Chatav

Eitan Chatav has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10192069
    Abstract: A hardware database privacy device is communicatively coupled to a private database system. The hardware database privacy device receives a request from a client device to perform a query of the private database system and identifies a level of differential privacy corresponding to the request. The identified level of differential privacy includes privacy parameters (?,?) indicating the degree of information released about the private database system. The hardware database privacy device identifies a set of operations to be performed on the set of data that corresponds to the requested query. After the set of data is accessed, the set of operations is modified based on the identified level of differential privacy such that a performance of the modified set of operations produces a result set that is (?,?)-differentially private.
    Type: Grant
    Filed: July 7, 2016
    Date of Patent: January 29, 2019
    Assignee: LeapYear Technologies, Inc.
    Inventors: Ishaan Nerurkar, Christopher Hockenbrocht, Michael Shaughnessy, Eitan Chatav, Liam Damewood
  • Publication number: 20180239925
    Abstract: Techniques are described for responding to queries of a private database system. A request is received from a client device to perform a query of the private database system. A level of differential privacy corresponding to the request is identified comprising privacy parameters ? and ?. A set of data stored in the private database system and a set of operations corresponding to the query are identified. The set of operations comprises generating a density plot visualization for one or more subsets of the set of data. The set of data is segmented into disjoint regions. For each disjoint region, a density is identified, and the density is plotted in a differentially private density plot visualization using one or more graphical elements.
    Type: Application
    Filed: April 23, 2018
    Publication date: August 23, 2018
    Inventors: Ishaan Nerurkar, Christopher Hockenbrocht, Michael Shaughnessy, Eitan Chatav
  • Publication number: 20180048654
    Abstract: A hardware database privacy device is communicatively coupled to a private database system. The hardware database privacy device receives a request from a client device to perform a query of the private database system and identifies a level of differential privacy corresponding to the request. The identified level of differential privacy includes privacy parameters (?,?) indicating the degree of information released about the private database system. The hardware database privacy device identifies a set of operations to be performed on the set of data that corresponds to the requested query. After the set of data is accessed, the set of operations is modified based on the identified level of differential privacy such that a performance of the modified set of operations produces a result set that is (?,?)-differentially private.
    Type: Application
    Filed: October 25, 2017
    Publication date: February 15, 2018
    Inventors: Ishaan Nerurkar, Christopher Hockenbrocht, Michael Shaughnessy, Eitan Chatav
  • Publication number: 20180048653
    Abstract: A hardware database privacy device is communicatively coupled to a private database system. The hardware database privacy device receives a request from a client device to perform a query of the private database system and identifies a level of differential privacy corresponding to the request. The identified level of differential privacy includes privacy parameters (?,?) indicating the degree of information released about the private database system. The hardware database privacy device identifies a set of operations to be performed on the set of data that corresponds to the requested query. After the set of data is accessed, the set of operations is modified based on the identified level of differential privacy such that a performance of the modified set of operations produces a result set that is (?,?)-differentially private.
    Type: Application
    Filed: October 25, 2017
    Publication date: February 15, 2018
    Inventors: Ishaan Nerurkar, Christopher Hockenbrocht, Michael Shaughnessy, Eitan Chatav
  • Publication number: 20170126694
    Abstract: A hardware database privacy device is communicatively coupled to a private database system. The hardware database privacy device receives a request from a client device to perform a query of the private database system and identifies a level of differential privacy corresponding to the request. The identified level of differential privacy includes privacy parameters (?,?) indicating the degree of information released about the private database system. The hardware database privacy device identifies a set of operations to be performed on the set of data that corresponds to the requested query. After the set of data is accessed, the set of operations is modified based on the identified level of differential privacy such that a performance of the modified set of operations produces a result set that is (?,?)-differentially private.
    Type: Application
    Filed: July 7, 2016
    Publication date: May 4, 2017
    Inventors: Ishaan Nerurkar, Christopher Hockenbrocht, Michael Shaughnessy, Eitan Chatav
  • Publication number: 20170124152
    Abstract: A hardware database privacy device is communicatively coupled to a private database system. The hardware database privacy device receives a request from a client device to perform a query of the private database system and identifies a level of differential privacy corresponding to the request. The identified level of differential privacy includes privacy parameters (?,?) indicating the degree of information released about the private database system. The hardware database privacy device identifies a set of operations to be performed on the set of data that corresponds to the requested query. After the set of data is accessed, the set of operations is modified based on the identified level of differential privacy such that a performance of the modified set of operations produces a result set that is (?,?)-differentially private.
    Type: Application
    Filed: May 26, 2016
    Publication date: May 4, 2017
    Inventors: Ishaan Nerurkar, Christopher Hockenbrocht, Michael Shaughnessy, Eitan Chatav