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A method for generating a test pattern for verifying the integrity of a convolution operation, selecting an optimized test pattern from the test patterns, and improving a defect tolerance capability and a swing-resistant property in an extreme situation, and apparatus
A method for generating a test pattern for verifying the integrity of a convolution operation, selecting an optimized test pattern from the test patterns, and improving a defect tolerance capability and a swing-resistant property in an extreme situation, and apparatus
PROBLEM TO BE SOLVED: To verify the integrity of one or more parameters of a convolutional neural network (CNN) using at least one test pattern, which enables an autonomous vehicle to safely drive from the threat of hackers. Provide a method of generating one or more test patterns. A method uses a predetermined function to generate a test pattern so that saturation does not occur in a process in which a convolution operation is applied after the test pattern is input to at least one original CNN. Generate an evaluation score of each test pattern by referring to each test pattern and one or more parameters of the original CNN, and refer to each evaluation score to select an optimized test pattern from the test patterns. To select. [Selection diagram]
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