Abstract: Adversarial attacks threaten the integrity of deep neural networks (DNNs), particularly in high-stakes applications. In this paper, we present a novel black-box adversarial attack that ...
Olympus Auditorium, Bandaranaike Centre for International Studies (BCIS) The National Collective of Community Savings and ...
Abstract: In image classification, the label quality of training data critically influences model generalization, especially for deep neural networks (DNNs). Traditionally, learning from noisy labels ...
WTO invites students globally for the 2026 Model WTO conference in Switzerland, offering an all-inclusive experience in ...
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