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METHOD AND DEVICE FOR EVALUATING AND CERTIFYING THE ROBUSTNESS OF AN AI-BASED INFORMATION PROCESSING SYSTEM

机译:用于评估和认证基于AI的信息处理系统的鲁棒性的方法和装置

摘要

The invention relates to a method for evaluating and certifying the robustness (25) of an AI-based information processing system (10). At least one multidimensional data structure (20) corresponding to the AI-based information processing system (10) is received or generated, and respective differential values (22), determined at least using at least one differential measurement (13a), between output data of the AI-based information processing system (10), said output data being obtained for data (11a) and augmented data, are stored in the at least one multidimensional data structure (20) on the basis of at least the dimensions of the data set (11), the data augmentation definition(s) (12), and the differential measurement definition(s), wherein at least the robustness (25) of the AI-based information processing system (10) is determined from at least a selection of the differential values (22), and the robustness is compared with at least one robustness requirement (26). On the basis of the comparison result (29), the AI-based information processing system (10) is either rejected, evaluated again using a modified multidimensional data structure (20+), or certified as being robust. The invention additionally relates to a corresponding device (1).
机译:本发明涉及一种用于评估和认证基于AI的信息处理系统(10)的鲁棒性(25)的方法。至少一个与基于AI的信息处理系统(10)对应的多维数据结构(20),并且相应的差分值(22)至少使用至少一个差分测量(13a),输出数据之间确定在基于AI的信息处理系统(10)中,基于所述数据的至少尺寸存储在所述至少一个多维数据结构(20)中存储在所述至少一个多维数据结构(20)中获得的所述输出数据设置(11),数据增强定义(12)和差分测量定义,其中至少基于AI的信息处理系统(10)的鲁棒性(25)由至少一个确定将差分值(22)的选择,并将鲁棒性与至少一个稳健性要求进行比较(26)。在比较结果(29)的基础上,拒绝基于AI的信息处理系统(10),再次使用修改的多维数据结构(20+)来评估,或者被认证为鲁棒。本发明另外涉及相应的装置(1)。

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