TIME SERIES DATA ADVERSARIAL SAMPLE GENERATING METHOD AND SYSTEM, ELECTRONIC DEVICE, AND STORAGE MEDIUM
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United States of America Patent
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Issued Date -
Jun 15, 2023
app pub date -
Jun 3, 2021
filing date -
Apr 1, 2021
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Abstract
A time series data adversarial sample generating method and system, an electronic device, and a storage medium, relating to the field of time series data processing. The method comprises: training a time series prediction model using original time series data (101); calculating a maximum value of a loss function in the time series prediction model by means of a stochastic gradient descent optimization strategy (102); determining corresponding noise according to the maximum value of the loss function (103); and superimposing the noise on the original time series data to generate a globally disturbed time series data adversarial sample (104). The method can significantly reduce the model accuracy under the condition of a small amount of data disturbance, has important significance for safe application of an industrial system, and has wide applicability and transferability.
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