DIFFERENTIAL PRIVACY FOR MESSAGE TEXT CONTENT MINING

    公开(公告)号:US20230344792A1

    公开(公告)日:2023-10-26

    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.

    ANONYMOUS AGGREGATION SERVICE FOR SENSITIVE DATA

    公开(公告)号:US20210359835A1

    公开(公告)日:2021-11-18

    申请号:US17242985

    申请日:2021-04-28

    Applicant: Apple Inc.

    Abstract: A method is provided for a device participating in a data aggregation service. The device receives, from at least one requesting server, a participant homomorphic encryption key, and a request for data to perform a computation. The device encrypts requested data, including a location identifier, with the participant homomorphic encryption key, and sends, to an aggregation service, the encrypted requested data.

    Maintaining differential privacy for database query results

    公开(公告)号:US11086915B2

    公开(公告)日:2021-08-10

    申请号:US16708307

    申请日:2019-12-09

    Applicant: Apple Inc.

    Abstract: The subject technology for maintaining differential privacy for database query results receives a query for a database that contains user data. The subject technology determines that the query is permitted for the database based at least in part on a privacy policy associated with the database. The subject technology determines that performing the query will not exceed a query budget for the database. The subject technology, when the query is permitted and performing the query will not exceed the query budget, performs the query on the database and receiving results from the query. The subject technology selects a differential privacy algorithm for the results based at least in part on a query type of the query. The subject technology applies the selected differential privacy algorithm to the results to generate differentially private results. The subject technology provides the differentially private results.

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