Interpretability-Guided Defense Against Backdoor Attacks to Deep Neural Networks
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DOI: 10.1109/tcad.2021.3111123
Abstract: As an emerging threat to deep neural networks (DNNs), backdoor attacks have received increasing attentions due to the challenges posed by the lack of transparency inherent in DNNs. In this article, we develop an efficient… read more here.
Keywords: deep neural; neural networks; backdoor attacks; interpretability guided ... See more keywords