METHOD AND SYSTEM FOR DETECTING ANOMALIES IN DATA LABELS

    公开(公告)号:US20190205794A1

    公开(公告)日:2019-07-04

    申请号:US15858001

    申请日:2017-12-29

    Applicant: Oath Inc.

    CPC classification number: G06N20/00 G06F16/285 G06N5/022

    Abstract: The present teaching relates to a method and system for validating labels of training data. A first group of data records associated with the training data are received, wherein each of the first group of data records includes a vector having at least one feature and a first label. For each of the first group of data records, a second label is determined based on the at least one feature in accordance with a first model. Thereafter, a loss based on the first label associated with the data record and the second label is obtained, and the data record having an incorrect first label is classified when the loss meets a pre-determined criterion. Upon classifying the data records, a sub-group of the first group of data records is generated, wherein each of the data records included in the sub-group has the incorrect first label.

    Computerized systems and methods for authenticating users on a network device via dynamically allocated authenticating state machines hosted on a computer network

    公开(公告)号:US10607263B2

    公开(公告)日:2020-03-31

    申请号:US15197806

    申请日:2016-06-30

    Applicant: OATH INC.

    Abstract: Disclosed are systems and methods for improving interactions with and between computers in an authentication system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across platforms, which data can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide advanced, computerized security features that dynamically, in real-time, determine parameters that must be entered in order for a user to login to a system or platform, as well as the quantity and order such parameters must be entered. The disclosed systems and methods involve computerized mechanisms for authenticating a user or device for which access to a web-based resource is desired. Requested credentials in accordance with the dynamically determined manner in which such credentials are automatically determined and requested must be appropriately entered.

    Method and system for detecting anomalies in data labels

    公开(公告)号:US11238365B2

    公开(公告)日:2022-02-01

    申请号:US15858001

    申请日:2017-12-29

    Applicant: Oath Inc.

    Abstract: The present teaching relates to a method and system for validating labels of training data. A first group of data records associated with the training data are received, wherein each of the first group of data records includes a vector having at least one feature and a first label. For each of the first group of data records, a second label is determined based on the at least one feature in accordance with a first model. Thereafter, a loss based on the first label associated with the data record and the second label is obtained, and the data record having an incorrect first label is classified when the loss meets a pre-determined criterion. Upon classifying the data records, a sub-group of the first group of data records is generated, wherein each of the data records included in the sub-group has the incorrect first label.

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