公开(公告)号：US11836263B1

公开(公告)日：2023-12-05

申请号：US18297545

申请日：2023-04-07

Applicant: Lemon Inc.

Inventor： Jian Du ,  Haohao Qian ,  Yongjun Zhao ,  Bo Jiang ,  Chuyuan Chen ,  Qiang Yan

IPC: H04L29/06 ,  G06F21/62 ,  H04L9/08 ,  G06F7/507

CPC classification number: G06F21/62 ,  G06F7/507 ,  H04L9/0869

Abstract: Protecting data privacy in secure multi-party computation and communication is provided. A method of protecting data privacy includes determining a differential privacy configuration, determining a number of iterations based on a first parameter and a second parameter, and for each of the number of iterations generating a random value and a random noise data; generating a first message and a second message; and performing a transfer based on the first message, the second message, and an input data to output one of the first message and the second message. The method also includes generating a first noise data based on the random noise data in each of the number of iterations, generating a first share based on a first dataset and a second dataset, applying the first noise data to the first share, and constructing a result based on the first share and a second share.

公开(公告)号：US11983285B1

公开(公告)日：2024-05-14

申请号：US18490953

申请日：2023-10-20

Applicant: Lemon Inc.

Inventor： Jian Du ,  Haohao Qian ,  Yongjun Zhao ,  Bo Jiang ,  Chuyuan Chen ,  Qiang Yan

IPC: H04L29/06 ,  G06F7/507 ,  G06F21/62 ,  H04L9/08

CPC classification number: G06F21/62 ,  G06F7/507 ,  H04L9/0869

Abstract: Protecting data privacy in secure multi-party computation and communication is provided. A method of protecting data privacy includes determining a differential privacy configuration, determining a number of iterations based on a first parameter and a second parameter, and for each of the number of iterations generating a random value and a random noise data; generating a first message and a second message; and performing a transfer based on the first message, the second message, and an input data to output one of the first message and the second message. The method also includes generating a first noise data based on the random noise data in each of the number of iterations, generating a first share based on a first dataset and a second dataset, applying the first noise data to the first share, and constructing a result based on the first share and a second share.