SECURE COMPUTATION AND COMMUNICATION
    1.
    发明公开

    公开(公告)号:US20240340178A1

    公开(公告)日:2024-10-10

    申请号:US18297339

    申请日:2023-04-07

    Applicant: Lemon Inc.

    CPC classification number: H04L9/3066 G06F16/2456 G06F16/258 H04L2209/46

    Abstract: Methods and systems for secure computation and communication are provided. The method includes transforming identifications of a first dataset using a first transforming scheme, and transforming attributes of the first dataset using a second transforming scheme. The method also includes dispatching the transformed first dataset, receiving a second dataset, transforming identifications of the received second dataset, dispatching the identifications of the transformed received second dataset, and receiving a set of identifications. The method further includes generating a first intersection of the received set of identifications and the transformed received second dataset, generating a first share based on the first intersection, receiving a second share, and constructing a result based on the first share and the second share.

    DYNAMIC PROGRAMMING SOLUTION FOR PRIVACY PROTECTION EVALUATION

    公开(公告)号:US20250045450A1

    公开(公告)日:2025-02-06

    申请号:US18363249

    申请日:2023-08-01

    Applicant: Lemon Inc.

    Abstract: Methods and systems for evaluating privacy protection are provided. A method includes generating a first intersection of a first dataset and a second dataset. The method also includes determining a partition number based on the first dataset, the first intersection, and a number of iterations by: determining a privacy leakage for subsets of the first dataset based on the first dataset, the first intersection, and the number of iterations; and determining the partition number based on the privacy leakage for each of the subsets of the first dataset. The method further includes partitioning the first dataset into a first sub-dataset and a second sub-dataset using the partition number, and determining positive membership and negative membership for elements of the first sub-dataset in the second dataset and for elements of the second sub-dataset in the second dataset.

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