DIFFERENTIAL PRIVACY FOR MESSAGE TEXT CONTENT MINING

    公开(公告)号:US20220217110A1

    公开(公告)日:2022-07-07

    申请号:US17702668

    申请日:2022-03-23

    Applicant: Apple Inc.

    Abstract: Systems and methods are disclosed for determining whether a message received by a client may be spam, in a computing environment that preserves privacy. The message may be encrypted. A client invokes the methods when a message is received from a sender that is not known to the client. A client can decrypt the message, break the message into chunks, and apply a differentially private algorithm to the set of chunks. The client transmits the differentially private message sketches to an aggregation server. The aggregation server receives a large collection of such message sketches for a large plurality of clients. The aggregation server returns aggregated message chunk (e.g. frequency) information to the client to assist the client in determining whether the message may be spam. The client can process the message based on the determination without disclosing the message content to the server.

    Differential privacy for message text content mining

    公开(公告)号:US11722450B2

    公开(公告)日:2023-08-08

    申请号:US17702668

    申请日:2022-03-23

    Applicant: Apple Inc.

    Abstract: Systems and methods are disclosed for determining whether a message received by a client may be spam, in a computing environment that preserves privacy. The message may be encrypted. A client invokes the methods when a message is received from a sender that is not known to the client. A client can decrypt the message, break the message into chunks, and apply a differentially private algorithm to the set of chunks. The client transmits the differentially private message sketches to an aggregation server. The aggregation server receives a large collection of such message sketches for a large plurality of clients. The aggregation server returns aggregated message chunk (e.g. frequency) information to the client to assist the client in determining whether the message may be spam. The client can process the message based on the determination without disclosing the message content to the server.

    Differential privacy for message text content mining

    公开(公告)号:US12120083B2

    公开(公告)日:2024-10-15

    申请号:US18211973

    申请日:2023-06-20

    Applicant: Apple Inc.

    Abstract: Systems and methods are disclosed for determining whether a message received by a client may be spam, in a computing environment that preserves privacy. The message may be encrypted. A client invokes the methods when a message is received from a sender that is not known to the client. A client can decrypt the message, break the message into chunks, and apply a differentially private algorithm to the set of chunks. The client transmits the differentially private message sketches to an aggregation server. The aggregation server receives a large collection of such message sketches for a large plurality of clients. The aggregation server returns aggregated message chunk (e.g. frequency) information to the client to assist the client in determining whether the message may be spam. The client can process the message based on the determination without disclosing the message content to the server.

    GRANULAR DATA UPDATE SHARING
    7.
    发明申请

    公开(公告)号:US20220392590A1

    公开(公告)日:2022-12-08

    申请号:US17831989

    申请日:2022-06-03

    Applicant: Apple Inc.

    Abstract: Techniques for identifying change points in health data are described herein. Health data during a first time sub-window is compared to health data from a second time sub-window. The health data is evaluated with respect to a set of change point criteria to determine that a first change is a first change point in the health data. A notification including information about the change point and information about a second change point is generated.

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