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公开(公告)号：US20210306136A1
公开(公告)日：2021-09-30
申请号：US16836875
申请日：2020-03-31
申请人： Intuit Inc.
摘要： Systems and methods for validating credentials are disclosed. One example method, performed by one or more processors of a computing device associated with a neural network, includes training the neural network to infer validity information for encrypted credentials received from a credential source, wherein the validity information is inferred without decrypting the encrypted credentials, receiving a first encrypted credential from the credential source, generating an encrypted validity indicator for the first encrypted credential based on the validity information inferred by the neural network, and providing the encrypted validity indicator to the credential source.
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公开(公告)号：US11989702B2
公开(公告)日：2024-05-21
申请号：US16712772
申请日：2019-12-12
申请人： Intuit Inc.
CPC分类号： G06Q20/042 , G06F17/16 , G06N3/02 , G06N20/00
摘要： A method may include extracting, from a transaction, a routing transit number (RTN) and an account number, embedding the RTN to obtain an RTN vector, embedding the account number to obtain an account number matrix, combining, using a trained machine learning model, the RTN vector and the account number matrix to obtain a combined matrix, and classifying the account number as invalid. The classifying may include applying the trained machine learning model to the combined matrix.
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公开(公告)号：US11914704B2
公开(公告)日：2024-02-27
申请号：US17143959
申请日：2021-01-07
申请人： INTUIT INC.
发明人： Sheer Dangoor , Ido Meir Mintz
CPC分类号： G06F21/552 , G06F21/554 , G06Q20/382 , G06Q20/4016 , G06F2221/034 , G06F2221/2101
摘要： Certain embodiments of the present disclosure provide techniques for identifying and blocking anomalous transactions within a computing system. An example method generally includes selecting a set of accounts for analysis. For each respective account, an anomaly score is calculated based on an account number associated with the respective account and transaction amounts associated with the respective account. An aggregated anomaly score is generated for each respective account provider of a plurality of account providers based on the anomaly score associated with each respective account. The aggregated anomaly score for each respective account provider is normalized based on a historical minimum and historical maximum anomaly score for the respective account provider. One or more account providers that are potential targets of anomalous activity are identified. One or more actions are taken to block completion of transactions requested by one or more accounts associated with the identified one or more account providers.
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公开(公告)号：US20210182803A1
公开(公告)日：2021-06-17
申请号：US16712772
申请日：2019-12-12
申请人： Intuit Inc.
摘要： A method may include extracting, from a transaction, a routing transit number (RTN) and an account number, embedding the RTN to obtain an RTN vector, embedding the account number to obtain an account number matrix, combining, using a trained machine learning model, the RTN vector and the account number matrix to obtain a combined matrix, and classifying the account number as invalid. The classifying may include applying the trained machine learning model to the combined matrix.
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公开(公告)号：US11546133B2
公开(公告)日：2023-01-03
申请号：US16836875
申请日：2020-03-31
申请人： Intuit Inc.
摘要： Systems and methods for validating credentials are disclosed. One example method, performed by one or more processors of a computing device associated with a neural network, includes training the neural network to infer validity information for encrypted credentials received from a credential source, wherein the validity information is inferred without decrypting the encrypted credentials, receiving a first encrypted credential from the credential source, generating an encrypted validity indicator for the first encrypted credential based on the validity information inferred by the neural network, and providing the encrypted validity indicator to the credential source.
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公开(公告)号：US11494422B1
公开(公告)日：2022-11-08
申请号：US17809523
申请日：2022-06-28
申请人： INTUIT INC.
发明人： Aviv Ben Arie , Omer Zalmanson , Ido Meir Mintz , Yair Horesh
IPC分类号： G06F16/332 , G06F40/284 , G06F16/33 , G06F40/295
摘要： A processor may receive a plurality of text samples generated by a user and identify at least one variable text element in at least one of the plurality of text samples. The processor may tokenize the at least one variable text element, thereby producing a plurality of tokenized text samples including at least one token. The processor may build a longest common substring from the plurality of tokenized text samples and add the longest common substring and the at least one token to a set of selectable user interface options specific to the user. The processor may generate a user interface comprising the set of selectable user interface options. This can include detecting a user interface context and automatically replacing the at least one token with information specific to the user interface context within the set of selectable user interface options.
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公开(公告)号：US11182436B2
公开(公告)日：2021-11-23
申请号：US16863177
申请日：2020-04-30
申请人： INTUIT INC.
IPC分类号： G06F16/00 , G06F16/907 , G06F16/18 , G06F16/901 , G06F40/295
摘要： Certain aspects of the present disclosure provide techniques for predicting a location based on transaction record data. An example technique includes obtaining a first set of transaction records and determining a merchant associated with each transaction record. The example further includes based on the merchant, determining and appending a branch identifier to each transaction record associated with the merchant to generate a first set of extended transaction records. The example further includes creating a consumption graph based on the first set of extended transaction records and determining an estimated location based on the consumption graph. The example further includes determining a precise point location based on the estimated location.
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公开(公告)号：US10678865B1
公开(公告)日：2020-06-09
申请号：US16012918
申请日：2018-06-20
申请人： INTUIT INC.
IPC分类号： G06F16/00 , G06F16/907 , G06F16/18 , G06F16/901 , G06F40/295
摘要： Certain aspects of the present disclosure provide techniques for predicting a location based on transaction record data. An example technique includes obtaining a first set of transaction records and determining a merchant associated with each transaction record. The example further includes based on the merchant, determining and appending a branch identifier to each transaction record associated with the merchant to generate a first set of extended transaction records. The example further includes creating a consumption graph based on the first set of extended transaction records and determining an estimated location based on the consumption graph. The example further includes determining a precise point location based on the estimated location.
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