Matthew Tamayo

Matthew Tamayo

Redmond, Washington, United States
2K followers 500+ connections

About

Experienced Software Engineer with a background in Applied Mathematics. My main focus is…

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Patents

  • Secure Data Synchronization

    Issued US US9424439

    Techniques for secure data synchronization are described. In one or more implementations, techniques may be employed to conserve high cost data storage by storing larger portions of encrypted data in low cost storage, while storing relatively smaller encryption keys in higher cost storage. A device that is granted access to the encryption keys can retrieve the encrypted data from the low cost storage and use the encryption keys to decrypt the encrypted data.

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  • Method for fully homomorphic encryption using multivariate cryptography

    Issued US 9313028 B2

    Embodiments are described for a method of performing fully homomorphic encryption on a data set by providing a multivariate encryption polynomial to produce an encrypted data set and a multivariate decryption polynomial to decrypt the encrypted data set, providing a multivariate function polynomial that represents an operation to be performed on the encrypted data set, and recomposing the function polynomial with encryption polynomial. Also described are a method comprising providing a private…

    Embodiments are described for a method of performing fully homomorphic encryption on a data set by providing a multivariate encryption polynomial to produce an encrypted data set and a multivariate decryption polynomial to decrypt the encrypted data set, providing a multivariate function polynomial that represents an operation to be performed on the encrypted data set, and recomposing the function polynomial with encryption polynomial. Also described are a method comprising providing a private key comprising a multivariate polynomial polynomial function to encrypt plaintext data to produce ciphertext, and providing a public key comprising a multivariate set of equations derived from the private key and a randomly selected injective vectorial multivariate function to decrypt the ciphertext.

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  • Unobtrusive assurance of authentic user intent

    Issued US US 12/645,465

    Computer-executable instructions that are directed to the performance of consequential actions and automatically elevate to execute at a higher privilege level to do so can perform such consequential actions only after user notification. Doing so can enable monitoring processes to avoid presenting duplicative user notification upon detection of such auto-elevation. In addition, prior to presenting user notification, input from the execution environment can be ignored and access to DLLs for…

    Computer-executable instructions that are directed to the performance of consequential actions and automatically elevate to execute at a higher privilege level to do so can perform such consequential actions only after user notification. Doing so can enable monitoring processes to avoid presenting duplicative user notification upon detection of such auto-elevation. In addition, prior to presenting user notification, input from the execution environment can be ignored and access to DLLs for performing consequential actions can be avoided. A static analyzer can identify non-conforming computer-executable instructions. A wrapper can be utilized to provide compliance by otherwise unknown or non-conforming computer-executable instructions.

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  • Record matching model using deep learning for improved scalability and adaptability

    Filed US20200364243A1

    Systems and methods are described for linking records from different databases. A search may be performed for each record of a received record set for similar records based on having similar field values. Recommended records of the record set may be assigned with the identified similar records to sub-groups. Pairs of records may be formed for each record of the sub-group, and comparative and identifying features may be extracted from each field of the pairs of records. Then, a trained model may…

    Systems and methods are described for linking records from different databases. A search may be performed for each record of a received record set for similar records based on having similar field values. Recommended records of the record set may be assigned with the identified similar records to sub-groups. Pairs of records may be formed for each record of the sub-group, and comparative and identifying features may be extracted from each field of the pairs of records. Then, a trained model may be applied to the differences to determine a similarity score. Cluster identifiers may be applied to records within each sub-group having similarity scores greater than a predetermined threshold. In response to a query for a requested record, all records having the same cluster identifier may be output on a graphical interface, allowing users to observe linked records for a person in the different databases.

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