During the information exploding era, news can be created or edited purposely for
promoting the spreading of social influence. However, unverified or fabricated news can …

This paper addresses the challenging task of weakly-supervised video temporal grounding.
Existing approaches are generally based on the moment proposal selection framework that …

Adversarial attack on point clouds plays a vital role in evaluating and improving the
adversarial robustness of 3D deep learning models. Current attack methods are mainly …

Graph-based unsupervised feature selection algorithms have been shown to be promising
for handling unlabeled and high-dimensional data. Whereas, the vast majority of those …

Given a model well-trained with a large-scale base dataset, few-shot class-incremental
learning (FSCIL) aims at incrementally learning novel classes from a few labeled samples …

Adversarial attacks have been successfully extended to the field of point clouds. Besides
applying the common perturbation guided by the gradient, adversarial attacks on point …

Backpropagation (BP) algorithm has played a significant role in the development of deep
learning. However, there exist some limitations associated with this algorithm, such as …

Adversarial attacks seriously threaten the security of machine learning models. Thus,
detecting adversarial examples has become an important and interesting research topic …

Adversarial attacks on point clouds play a vital role in assessing and enhancing the
adversarial robustness of 3D deep learning models. While employing a variety of geometric …

Deep learning models are easily deceived by adversarial examples, and transferable
attacks are crucial because of the inaccessibility of model information. Existing SOTA attack …