The study explores backdoor attacks on deep neural networks-based image classification. The attacker aims to insert a backdoor into the model by manipulating training data. Current data poisoning-based attacks struggle…
Continue readingThe study focuses on improving the reliability of post-hoc explanation methods in image classification. These methods are used to understand the decision-making processes of deep neural networks, which are often…
Continue readingThis research proposes a novel solution for medical image classification using Graph Neural Networks (GNNs). The approach uses Image Foresting Transform to segment images, which are then transformed into graph-structured…
Continue readingThe article presents a novel method for cross-domain few-shot hyperspectral image classification. The proposed method differs from current ones by learning the relations between samples from different views and incorporating…
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