Abstract: Reversible Adversarial Examples (RAE) are designed to protect the intellectual property of datasets. Such examples can function as imperceptible adversarial examples to erode the model ...
Abstract: Deep neural networks (DNNs) have shown excellent performance in fault diagnosis, but this heavily relies on training datasets with high-quality labels. However, both manual annotation and ...
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