Patents by Inventor Colin W. Wetherbee

Colin W. Wetherbee 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).

  • Systems and methods for enhancing data protection by anonosizing structured and unstructured data and incorporating machine learning and artificial intelligence in classical and quantum computing environments
    Patent number: 10043035
    Abstract: Systems, computer-readable media, and methods for improving both data privacy/anonymity and data value, wherein real-world, synthetic, or other data related to a data subject can be used while minimizing re-identification risk by unauthorized parties and enabling data, including quasi-identifiers, related to the data subject to be disclosed to any authorized party by granting access only to the data relevant to that authorized party's purpose, time period, purpose, place and/or other criterion via the required obfuscation of specific data values, e.g., pursuant to the GDPR or HIPAA, by incorporating a given range of those values into a cohort, wherein only the defined cohort values are disclosed to the given authorized party. Privacy policies may include any privacy enhancement techniques (PET), including: data protection, dynamic de-identification, anonymity, pseudonymity, granularization, and/or obscurity policies.
    Type: Grant
    Filed: April 10, 2017
    Date of Patent: August 7, 2018
    Assignee: Anonos Inc.
    Inventors: Malcolm Gary LaFever, Ted N. Myerson, Steven Mason, Colin W. Wetherbee
  • Systems and Methods for Enhancing Data Protection by Anonosizing Structured and Unstructured Data and Incorporating Machine Learning and Artificial Intelligence in Classical and Quantum Computing Environments
    Publication number: 20170243028
    Abstract: Systems, computer-readable media, and methods for improving both data privacy/anonymity and data value, wherein real-world, synthetic, or other data related to a data subject can be used while minimizing re-identification risk by unauthorized parties and enabling data, including quasi-identifiers, related to the data subject to be disclosed to any authorized party by granting access only to the data relevant to that authorized party's purpose, time period, purpose, place and/or other criterion via the required obfuscation of specific data values, e.g., pursuant to the GDPR or HIPAA, by incorporating a given range of those values into a cohort, wherein only the defined cohort values are disclosed to the given authorized party. Privacy policies may include any privacy enhancement techniques (PET), including: data protection, dynamic de-identification, anonymity, pseudonymity, granularization, and/or obscurity policies.
    Type: Application
    Filed: April 10, 2017
    Publication date: August 24, 2017
    Inventors: Malcolm Gary LaFever, Ted N. Myerson, Steven Mason, Colin W. Wetherbee