Abstract: Continuous collection of users' ordinal data is essential to numerous industrial applications, such as disease surveillance, road traffic analysis, and computation offloading. However, the ...
Abstract: Recent research has shown that deep neural networks can be compromised through data-poisoning-based backdoor attacks, in which a small fraction of samples in the training dataset is ...
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