Denoising by Decorated Noise: An Interpretability-Based Framework for Adversarial Example Detection
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DOI: 10.1155/2023/7669696
Abstract: The intelligent imaging sensors in IoT benefit a lot from the continuous renewal of deep neural networks (DNNs). However, the appearance of adversarial examples leads to skepticism about the trustworthiness of DNNs. Malicious perturbations, even… read more here.
Keywords: denoising decorated; adversarial example; framework; detection ... See more keywords