Capital One Services, LLC

Dexter Ferguson

Tyler Maiman

Bryant Alan Yee

Leeyat Bracha Tessler

Shannon Yogerst

Kimberly Stockley

Christian Wiskur

Claire M Rowlett

Systems and methods are described herein for novel uses and/or improvements to artificial intelligence applications. As one example, systems and methods are described for the use of an artificial intelligence-based solution in identifying fraudulent documents and/or other content. In particular, the systems and methods adapt the artificial intelligence-based solution to overcome the technical problem of insufficient training data and/or solutions that are commensurate with the time frame and resources available.

Systems and methods for determining document authenticity based on weighted analysis of categorical content attributes

A method, a system, and a computer program product for using contactless cards and mobile applications for selecting and using methods of payment for transactions. An identifier associated with a transaction is received. The transaction is configured to be executed using at least one computing device. One or more virtual identifiers are generated using the received identifier. At least one virtual identifier is selected and assigned to the transaction. Execution of the transaction is triggered by the computing device using the assigned virtual identifier.

Assignment of near-field communications applets

Methods and systems are disclosed herein for cryptographically secured transfer of an item. In some embodiments, the system may cause generation of multiple key shares of a private key from which a blockchain address on a blockchain is derived. The system may generate a cryptographic representation of a physical item to be transferred from the first user to the second user, the physical item corresponding to the first item. The system may cause a first amount of the first item to be transferred to the blockchain address. The system may obtain a candidate cryptographic representation from the second user. The system may generate, based on the candidate hash matching the hash of the feature vector representing the physical item, a signed message using a partial signature of the second user and another partial signature derived from the third key share.

Secure cryptographic transfer using multiparty computation

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Catonsville, MD, United States of America

Dexter Ferguson