Abstract: Deep neural networks (DNNs) have achieved satisfactory performance in multiple fields. However, recent studies have shown that DNNs can be easily fooled by adversarial examples. To mitigate ...
Classifying ancient pottery has always depended on the trained judgment of an archaeologist. Identifying the subtle ...
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