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公开(公告)号：US20210133513A1
公开(公告)日：2021-05-06
申请号：US17130254
申请日：2020-12-22
Applicant: Booz Allen Hamilton Inc.
Inventor： Arash RAHNAMA-MOGHADDAM , Andre Tai NGUYEN
Abstract: An exemplary device for classifying an image includes a receiving unit that receives image data. The device also includes a hardware processor including a neural network architecture to extract a plurality of features from the image data, filter each feature extracted from the image data, concatenate the plurality of filtered features to form an image vector, evaluate the plurality of concatenated features in first and second layers of a plurality of fully connected layers of the neural network architecture based on an amount of deviation in the features determined at each fully connected layer, and generate a data signal based on an output of the plurality of fully connected layers. A transmitting unit sends the data signal to a peripheral or remote device.
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公开(公告)号：US20210350004A1
公开(公告)日：2021-11-11
申请号：US16866997
申请日：2020-05-05
Applicant: Booz Allen Hamilton Inc.
Inventor： Arash RAHNAMA-MOGHADDAM , Andrew TSENG
Abstract: A method and system for explaining a decision process of a machine learning model that includes inputting into a machine learning model a first input data file; receiving a first output data file from the machine learning model based on the first input data file; executing an adversarial attack on the machine learning model, creating a mapping of the one or more units of data of the first input data file with changes by the adversarial attack exceeding a first threshold to one or more segments of the first input data file; determining a density of the changes to the one or more units of data in each of the one or more segments; and displaying the one or more segments of the first input data file having a density of changes to the one or more units of data exceeding a second threshold via a graphical user interface.
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