Patents by Inventor Vaughan Shanks

Vaughan Shanks 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).

  • Publication number: 20230388108
    Abstract: Systems are provided for managing access to a log of dataset that is generated when the dataset is accessed. A system stores, with respect to each of a log producer and a log accessor, an encrypted symmetric key for dataset that is encrypted using a corresponding public key. The system returns the encrypted symmetric key for the log producer, such that the log producer can decrypt the dataset that is encrypted using the symmetric key. A log of the dataset is generated when the log producer accesses the dataset.
    Type: Application
    Filed: August 15, 2023
    Publication date: November 30, 2023
    Inventors: Vaughan SHANKS, Andrew LAMPERT
  • Patent number: 11728975
    Abstract: Systems are provided for managing access to a log of dataset that is generated when the dataset is accessed. A system stores, with respect to each of a log producer and a log accessor, an encrypted symmetric key for dataset that is encrypted using a corresponding public key. The system returns the encrypted symmetric key for the log producer, such that the log producer can decrypt the dataset that is encrypted using the symmetric key. A log of the dataset is generated when the log producer accesses the dataset.
    Type: Grant
    Filed: September 21, 2021
    Date of Patent: August 15, 2023
    Assignee: Palantir Technologies Inc.
    Inventors: Vaughan Shanks, Andrew Lampert
  • Publication number: 20220261144
    Abstract: Techniques related to data collaboration between different entities are disclosed. In an embodiment, a graph may be displayed in a computer graphical user interface. The graph may include nodes and edges. Each node may represent a distinct data object. Each edge may represent one or more relationships between the two distinct data objects. Based on one or more redaction criteria, a portion of the graph may be identified to be redacted before the graph is exported. Display of the graph in the computer graphical user interface may be updated to remove display of the portion of the graph. After the updating, a request to export the graph may be received. Responsive to receiving the request, a machine-readable representation of a redacted graph may be exported.
    Type: Application
    Filed: May 6, 2022
    Publication date: August 18, 2022
    Inventors: Graham Dennis, Timothy Taylor, Kimberley Lear, Jesse Rickard, Dyon Balding, Hunter Pitelka, David Leblanc, Vaughan Shanks, Joel Davies, Steffen Merten, Christopher Cook, Christopher Male, Marc Barker
  • Patent number: 11327641
    Abstract: Techniques related to data collaboration between different entities are disclosed. In an embodiment, a graph may be displayed in a computer graphical user interface. The graph may include nodes and edges. Each node may represent a distinct data object. Each edge may represent one or more relationships between the two distinct data objects. Based on one or more redaction criteria, a portion of the graph may be identified to be redacted before the graph is exported. Display of the graph in the computer graphical user interface may be updated to remove display of the portion of the graph. After the updating, a request to export the graph may be received. Responsive to receiving the request, a machine-readable representation of a redacted graph may be exported.
    Type: Grant
    Filed: February 25, 2019
    Date of Patent: May 10, 2022
    Assignee: Palantir Technologies Inc.
    Inventors: Graham Dennis, Timothy Taylor, Kimberley Lear, Jesse Rickard, Dyon Balding, Hunter Pitelka, David Leblanc, Vaughan Shanks, Joel Davies, Steffen Merten, Christopher Cook, Christopher Male, Marc Barker
  • Publication number: 20220006623
    Abstract: Systems are provided for managing access to a log of dataset that is generated when the dataset is accessed. A system stores, with respect to each of a log producer and a log accessor, an encrypted symmetric key for dataset that is encrypted using a corresponding public key. The system returns the encrypted symmetric key for the log producer, such that the log producer can decrypt the dataset that is encrypted using the symmetric key. A log of the dataset is generated when the log producer accesses the dataset.
    Type: Application
    Filed: September 21, 2021
    Publication date: January 6, 2022
    Inventors: Vaughan Shanks, Andrew Lampert
  • Patent number: 11133925
    Abstract: Systems are provided for managing access to a log of dataset that is generated when the dataset is accessed. A system stores, with respect to each of a log producer and a log accessor, an encrypted symmetric key for dataset that is encrypted using a corresponding public key. The system returns the encrypted symmetric key for the log producer, such that the log producer can decrypt the dataset that is encrypted using the symmetric key. A log of the dataset is generated when the log producer accesses the dataset.
    Type: Grant
    Filed: May 29, 2018
    Date of Patent: September 28, 2021
    Assignee: Palantir Technologies Inc.
    Inventors: Vaughan Shanks, Andrew Lampert
  • Publication number: 20190182038
    Abstract: Systems are provided for managing access to a log of dataset that is generated when the dataset is accessed. A system stores, with respect to each of a log producer and a log accessor, an encrypted symmetric key for dataset that is encrypted using a corresponding public key. The system returns the encrypted symmetric key for the log producer, such that the log producer can decrypt the dataset that is encrypted using the symmetric key. A log of the dataset is generated when the log producer accesses the dataset.
    Type: Application
    Filed: May 29, 2018
    Publication date: June 13, 2019
    Inventors: Vaughan Shanks, Andrew Lampert
  • Patent number: 10222965
    Abstract: Techniques related to data collaboration between different entities are disclosed. In an embodiment, a graph may be displayed in a computer graphical user interface. The graph may include nodes and edges. Each node may represent a distinct data object. Each edge may represent one or more relationships between the two distinct data objects. Based on one or more redaction criteria, a portion of the graph may be identified to be redacted before the graph is exported. Display of the graph in the computer graphical user interface may be updated to remove display of the portion of the graph. After the updating, a request to export the graph may be received. Responsive to receiving the request, a machine-readable representation of a redacted graph may be exported.
    Type: Grant
    Filed: December 28, 2017
    Date of Patent: March 5, 2019
    Assignee: Palantir Technologies Inc.
    Inventors: Graham Dennis, Timothy Taylor, Kimberley Lear, Jesse Rickard, Dyon Balding, Hunter Pitelka, David Leblanc, Vaughan Shanks, Joel Davies, Steffen Merten, Christopher Cook, Christopher Male, Marc Barker
  • Patent number: 9857960
    Abstract: Techniques related to data collaboration between different entities are disclosed. In an embodiment, a graph may be displayed in a computer graphical user interface. The graph may include nodes and edges. Each node may represent a distinct data object. Each edge may represent one or more relationships between the two distinct data objects. Based on one or more redaction criteria, a portion of the graph may be identified to be redacted before the graph is exported. Display of the graph in the computer graphical user interface may be updated to remove display of the portion of the graph. After the updating, a request to export the graph may be received. Responsive to receiving the request, a machine-readable representation of a redacted graph may be exported.
    Type: Grant
    Filed: October 19, 2015
    Date of Patent: January 2, 2018
    Assignee: Palantir Technologies, Inc.
    Inventors: Graham Dennis, Timothy Taylor, Kimberley Lear, Jesse Rickard, Dyon Balding, Hunter Pitelka, David Leblanc, Vaughan Shanks, Joel Davies, Steffen Merten, Christopher Cook, Christopher Male, Marc Barker