An Efficient Preprocessing-Based Approach to Mitigate Advanced Adversarial Attacks
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DOI: 10.1109/tc.2021.3076826
Abstract: Deep Neural Networks are well-known to be vulnerable to Adversarial Examples. Recently, advanced gradient-based attacks were proposed (e.g., BPDA and EOT), which can significantly increase the difficulty and complexity of designing effective defenses. In this… read more here.
Keywords: efficient preprocessing; based approach; preprocessing based; mitigate advanced ... See more keywords