Visa International Service Association

Deep Labs Inc.

Scott Edington

Patrick L Faith

Theodore David Harris

Paul Max Payton

Johan Van Tilburg

Matthew Quinlan

Duane Matthew Cash

Kevin Paul Siegel

Jiri Novak

The present disclosure relates to systems and methods for generating a persona and detecting anomalies using a hash tree. In one implementation, the system may include one or more memories storing instructions and one or more processors configured to execute the instructions. The instructions may include instructions to receive a plurality of data structures related to an individual, convert the data structures into a plurality of Bayesian wavelets, group the Bayesian wavelets into a tree structure, using transitions between the Bayesian wavelets within the tree structure, generate a plurality of Markovian wavelets representing the transitions, replace one or more of the Bayesian wavelets with hashes, and output the tree structure as a persona representing the individual. The instructions may also include training a neural network.

Systems and methods for generating hash trees and using neural networks to process the same

Computer-implemented systems and methods are disclosed herein for use within secure multi-party computation. A system and method are used for storing an operation preference and a cryptographic preference. A data set is stored based on the operation preference and the cryptographic preference. A determination is made that processing the query involves performing an allowable operation on the data set based on the operation preference.

Multi-party encryption cube processing apparatuses, methods and systems

A system and method of interaction with beacons to execute a multiple layer authenticated transaction process including receiving a signal from the beacon, analyzing a relative signal strength of the beacon, enabling a portable computer device to complete the digital transaction based on the proximity of the portable computer device to an item for purchase. A first user verification input is additionally received via the portable computer system. In response to the first user verification, receiving a verification signal.

System and method for beacon based navigation to offer based transactions and beacon based digital transactions with multiple layer authentication

The present disclosure relates to systems and methods for creating and using personas. The method includes receiving a first set of input signals associated with data from one or more source; receiving a second set of input signals associated with data from one or more source; converting the first set of input signals and the second set of input signals to a wavelet; constructing a persona based on the wavelet; storing the persona in a ledger; receiving a request for a decision related to a transaction; converting the request to a new wavelet; determining a difference between the new wavelet and the stored persona; generating a score based on the difference; and authorizing the transaction based on the score.

Systems and methods for analyses and action approvals using a ledger

Systems and methods described herein are for transmitting a command to a remote system. A processing system determines the identity of the user based on the unique identifier and the biometric information. Thereafter, a sensor detects a gesture performed by the user. The sensor is configured to detect the gesture performed by the user when the user is located within the detectable range of the wireless antenna. The processing system determines an action associated with the detected gesture based on the identity of the user and sends a command to a remote computer system to cause it to perform the action associated with the detected gesture.

Gesture recognition cloud command platform, system, method, and apparatus

Sensor data analysis may include obtaining video data, detecting facial data within the video data, extracting the facial data from the video data, detecting indicator data within the video data, extracting the indicator data from the video data, transforming the extracted facial data into representative facial data, and determining a mood of the person by associating learned mood indicators derived from other detected facial data with the representative facial data. The analysis may include determining that the representative facial data is associated with a complex profile, and determining a context regarding the person within the environment by weighting and processing the determined mood, at least one subset of data representing information about the person of the complex profile, and the indicator data. The analysis may include determining a user experience for the person, and communicating the determined user experience to a device associated with the person.

Systems and methods for sensor data analysis through machine learning

The present disclosure relates to systems and methods for creating and training neural networks. The method includes collecting a set of signals from a database; applying a transform to each signal to create a modified set of signals, wherein signals of the modified set of signals are wavelets; iteratively, for each of a subset of the modified signals: training the neural network using a modified signal of the subset by adding at least one node to the neural network in response to an error function of an analysis of the modified signal exceeding a threshold; removing nodes from the neural network with activation rates below an activation rate threshold; and grouping each node into a lobe among a plurality of lobes, wherein nodes belonging to a lobe have a common characteristic.

Systems and methods for adaptive training neural networks

Computer-implemented systems and methods are disclosed herein for use in cryptographic operations over a cloud-based service. The cloud-based service securely stores and transmits parts of encryption/decryption keys. Split key processing can include splitting the key in two and storing one of them on a remote secure server.

Cloud encryption key broker apparatuses, methods and systems

An encrypted table value homomorphically joining method and apparatus comprising receiving a query input. Based on the query input, the method may include determining at least one field on which to join the plurality of tables, and determining that the at least one field contains deterministically homomorphically encrypted data. The method may include determining a homomorphic join strategy directly comparing values in two homomorphically encrypted fields, performing a homomorphic join on the fields in the plurality of tables, and providing resultant homomorphically joined tables.

Homomorphic database operations apparatuses, methods and systems

Methods and apparatuses are presented for securely providing digital streaming data to subscriber devices using encrypted wavelet meshes. A recorded image may be subdivided into three sources of data: light sources, camera angles, and the objects themselves. Each of these sources of data may be considered unique from each other, and the totality of the three sources of data may comprise a complete image. Without one of the sources of data, the image may not be complete. Each of the three sources of data may therefore be characterized as key spaces, wherein encrypting part of or the entirety of even one of these key spaces prevents the complete image from being viewed. Methods and apparatuses are provided for utilizing the concept of encrypting at least a portion of at least one of the three key spaces in order to securely and/or privately transmit image data to subscribers.

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Arlington, VA, United States of America

Scott Edington