Application integrity attestation
    12.
    发明授权

    公开(公告)号:US11790119B2

    公开(公告)日:2023-10-17

    申请号:US16683233

    申请日:2019-11-13

    Applicant: Apple Inc.

    CPC classification number: G06F21/64 H04L9/14 H04L9/3236 H04L9/3263 H04L9/3271

    Abstract: Techniques are disclosed relating to application verification. In various embodiments, a computing device includes a secure circuit configured to maintain a plurality of cryptographic keys of the computing device. In such an embodiment, the computing device receives, from an application, a request for an attestation usable to confirm an integrity of the application, instructs the secure circuit to use one of the plurality of cryptographic keys to supply the attestation for the application, and provides the attestation to a remote computing system in communication with the application. In some embodiments, the secure circuit is configured to verify received metadata pertaining to the identity of the application and use the cryptographic key to generate the attestation indicative of the identity of the application.

    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:US10778633B2

    公开(公告)日:2020-09-15

    申请号:US15710736

    申请日:2017-09-20

    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.

    DIFFERENTIAL PRIVACY FOR MESSAGE TEXT CONTENT MINING

    公开(公告)号:US20180091466A1

    公开(公告)日:2018-03-29

    申请号:US15710736

    申请日:2017-09-20

    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.

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