Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...
Abstract: The objective of a data-free closed-box adversarial attack is to attack a victim model without using internal information, training datasets or semantically similar substitute datasets.
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