3 accepted papers
High-quality open-source datasets have emerged as a pivotal catalyst driving the swift advancement of deep learning, while facing the looming threat of potential exploitation. Protecting these datasets is of paramount importance for the interests of their owners. The verification of dataset ownershi…
"Attribution-based explanations are garnering increasing attention recently and have emerged as the predominant approach towards eXplanable Artificial Intelligence (XAI). However, the absence of consistent configurations and systematic investigations in prior literature impedes comprehensive evaluat…
Recently, vision Transformers (ViTs) are developing rapidly and starting to challenge the domination of convolutional neural networks (CNNs) in the realm of computer vision (CV). With the general-purpose Transformer architecture replacing the hard-coded inductive biases of convolution, ViTs have sur…