Sliced Wasserstein adversarial training for improving adversarial robustness
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DOI: 10.1007/s12652-024-04791-1
Abstract: Recently, deep-learning-based models have achieved impressive performance on tasks that were previously considered to be extremely challenging. However, recent works have shown that various deep learning models are susceptible to adversarial data samples. In this… read more here.
Keywords: wasserstein adversarial; training; sliced wasserstein; adversarial training ... See more keywords