Mounting adapter
    175.
    外观设计

    公开(公告)号:USD1032332S1

    公开(公告)日:2024-06-25

    申请号:US29808019

    申请日:2021-09-16

    Applicant: Stripe, Inc.

    Abstract: FIG. 1 is a front elevation view of a mounting adapter showing our new design;
    FIG. 2 is a rear elevation view thereof;
    FIG. 3 is a right side elevation view thereof;
    FIG. 4 is a left side elevation view thereof;
    FIG. 5 is a top plan view thereof;
    FIG. 6 is a bottom plan view thereof;
    FIG. 7 is a top-front-right perspective view thereof;
    FIG. 8 is a top-front-left perspective view thereof;
    FIG. 9 is a top-rear-left perspective view thereof;
    FIG. 10 is a top-rear-right perspective view thereof;
    FIG. 11 is a bottom-front-right perspective view thereof;
    FIG. 12 is a bottom-front-left perspective view thereof;
    FIG. 13 is a bottom-rear-left perspective view thereof; and,
    FIG. 14 is a bottom-rear-right perspective view thereof.
    The shade lines show surface contour and not surface ornamentation.

    SYSTEMS AND METHODS FOR MACHINE LEARNING FEATURE GENERATION

    公开(公告)号:US20240177162A1

    公开(公告)日:2024-05-30

    申请号:US18072126

    申请日:2022-11-30

    Applicant: Stripe, Inc.

    CPC classification number: G06Q20/4016

    Abstract: A method and apparatus for generating an ML model may include: generating an ML feature template comprising a first grouping of first ML feature variables and a second grouping of second ML feature variables; generating ML features by combining a respective one of each of the first ML feature variables with a respective one of each of the second ML feature variables; training a first ML model utilizing the ML features and first training data to generate an ML output; analyzing the ML output to determine a prediction accuracy of the ML features; based on the prediction accuracy of the ML features, selecting a subset of the ML features; training a second ML model based on the subset of the ML features and the first training data; and providing a network transaction to the second ML model to generate a classification of the network transaction.

    SYSTEMS AND METHODS FOR IDENTITY DOCUMENT FRAUD DETECTION

    公开(公告)号:US20240177161A1

    公开(公告)日:2024-05-30

    申请号:US18071381

    申请日:2022-11-29

    Applicant: Stripe, Inc.

    CPC classification number: G06Q20/4016 G06V10/774 G06V10/82 G06V20/95 G06V30/41

    Abstract: A method and apparatus for fraud detection during transactions using identity graphs are described. The method may include receiving a document image for detecting whether an identity document depicted within the document image is fraudulent. The method may also include extracting data associated with the document image to generate extracted data. The method may also include processing, by a single machine learning model, subsets of the decoded image data used as corresponding inputs to each of a set of machine learning model backbones of the single machine learning model that generate one or more intermediate signals indicative of whether a subset of the extracted image data input into said each machine learning model backbone is associated with a fraudulent identity document. The method may also include processing, by a second machine learning model backbone that generates a final score indicative of whether the document image depicts a fraudulent identity document, at least one or more intermediate signals.

    Dynamic generation and customization of user interfaces

    公开(公告)号:US11995454B2

    公开(公告)日:2024-05-28

    申请号:US17890155

    申请日:2022-08-17

    Applicant: STRIPE, INC.

    CPC classification number: G06F9/4451 G06F8/38 H04L67/306

    Abstract: A method for generating a user interface includes: receiving a user request to access a software platform, the user request being associated with a user identifier; generating a user context based on the user request, the user context including a user profile associated with the user identifier; loading a data structure representing a user interface layout, the data structure including a plurality of viewport nodes, each of the viewport nodes being associated with one or more child nodes; selecting, by a computer system, a first child node from one or more child nodes of a first viewport node of the plurality of viewport nodes based on the user context to generate an evaluated data structure including a plurality of evaluated viewport nodes, each of the evaluated viewport nodes having at most one child node; and generating a customized user interface based on the evaluated data structure.

    SYSTEMS AND METHODS FOR REMOTEBUILD ACTION-MERGING

    公开(公告)号:US20240168730A1

    公开(公告)日:2024-05-23

    申请号:US17990431

    申请日:2022-11-18

    Applicant: STRIPE, INC.

    CPC classification number: G06F8/41 G06F8/10 G06F11/302

    Abstract: Examples of the present disclosure describe systems and methods for remotebuild software build action-merging. In some examples, a build server receives a first software build action and a second software build action. In examples, it is determined that there is a match between a first hash value of the first software build action and a second hash value of the second software build action. In examples, only the first software build action is run from among the first software build action and the second software build action based on the match to produce a software build action result. In examples, the software build action result is returned as an output of the first software build action and an output of the second software build action.

    FIAT-CRYPTO ONRAMP
    180.
    发明公开
    FIAT-CRYPTO ONRAMP 审中-公开

    公开(公告)号:US20240161090A1

    公开(公告)日:2024-05-16

    申请号:US17986783

    申请日:2022-11-14

    Applicant: STRIPE, INC.

    Inventor: Sen Fang

    CPC classification number: G06Q20/3674 G06Q20/3678 G06Q2220/00

    Abstract: A proxy cryptocurrency wallet configured to: receive a pre-authorization from a user cryptocurrency wallet, the pre-authorization corresponding to a transaction requested to be executed and specifying a digital asset to purchase and a price denominated in a cryptocurrency, the user cryptocurrency wallet being configured to allow for a pre-authorization of the transaction without a sufficient amount of cryptocurrency required for the transaction being present in the user cryptocurrency wallet; in response to receiving the pre-authorization, identify if an amount of cryptocurrency in the proxy cryptocurrency wallet is sufficient to execute the transaction; and in response to identifying that the amount of cryptocurrency in the proxy cryptocurrency wallet is sufficient to execute the transaction, execute the transaction resulting in a purchase of the digital asset and a transfer of the digital asset to a recipient cryptocurrency wallet, the recipient cryptocurrency wallet being different from the proxy cryptocurrency wallet.

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