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METHOD, COMPUTER PROGRAM AND DEVICE FOR EVALUATING THE ROBUSTNESS OF A NEURAL NETWORK AGAINST IMAGE DISTURBANCES

机译:用于评估神经网络稳健性的方法,计算机程序和设备对图像干扰的鲁棒性

摘要

The invention relates to a method (100) for evaluating the robustness of a neural network (102) used for image processing against a group of at least two different disturbances that can be found in images, said method (100) comprising the following steps:determining a robustness score (SRIi), called individual robustness score, of said neural network (102) for each disturbance (Pi) in said group;determining at least one similarity score (SSIi,j), called individual similarity score, for the similarity between two disturbances in said group; andcalculating a robustness score (SRG), called overall robustness score, of said neural network (102) against said group of disturbances as a function of: the individual robustness scores (SRIi) for all the disturbances (P), andat least one individual similarity score (SSIi,j) for the similarity between two disturbances.;It also relates to a computer program and a device implementing such a method.
机译:本发明涉及一种用于评估用于图像处理的神经网络(102)的鲁棒性的方法(100),所述方法(102)对图像处理的一组可以在图像中找到的至少两个不同的干扰,所述方法(100)包括以下步骤: 确定所述组中的每个干扰(PI)的所述神经网络(102)的鲁棒性得分(SRII),称为单独的鲁棒性分数;为相似性确定至少一个称为个别相似度分数的相似度分数(SSII,J) 在所述群体中的两个干扰之间; 并加速了鲁棒性得分(SRG),称为整体鲁棒性评分,其作为一种障碍物的函数:所有扰动(P),至少一个个人相似性的个人鲁棒性评分(SRII) 分数(SSII,J)为两个干扰之间的相似性。它还涉及一种计算机程序和实现这种方法的设备。

著录项

  • 公开/公告号US2021374482A1

    专利类型

  • 公开/公告日2021-12-02

    原文格式PDF

  • 申请/专利权人 BULL SAS;

    申请/专利号US202117336507

  • 发明设计人 ALFRED LAUGROS;

    申请日2021-06-02

  • 分类号G06K9/62;G06N3/08;

  • 国家 US

  • 入库时间 2022-08-24 22:34:19

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