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Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble

By Chang Dong and others
Recently, the issue of adversarial robustness in the time series domain has garnered significant attention. However, the available defense mechanisms remain limited, with adversarial training being the predominant approach, though it does not provide theoretical guarantees. Randomized Smoothing has emerged as a standout method due to its ability to certify... Show more
September 4, 2024
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Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble
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