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Multi-TSFool

TSFool is a multi-objective gray-box attack method to craft highly-imperceptible adversarial samples for RNN-based time series classification. The Multi-TSFool method in this repository is built for multivariate time series data, which is an extended version of the basic TSFool for univariate time series data here.

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