Advances in adversarial attacks and defenses in computer vision: A survey
Deep Learning is the most widely used tool in the contemporary field of computer vision. Its
ability to accurately solve complex problems is employed in vision research to learn deep …
ability to accurately solve complex problems is employed in vision research to learn deep …
Physical adversarial attack meets computer vision: A decade survey
Despite the impressive achievements of Deep Neural Networks (DNNs) in computer vision,
their vulnerability to adversarial attacks remains a critical concern. Extensive research has …
their vulnerability to adversarial attacks remains a critical concern. Extensive research has …
Threat of adversarial attacks on deep learning in computer vision: A survey
Deep learning is at the heart of the current rise of artificial intelligence. In the field of
computer vision, it has become the workhorse for applications ranging from self-driving cars …
computer vision, it has become the workhorse for applications ranging from self-driving cars …
Transformer for skeleton-based action recognition: A review of recent advances
Skeleton-based action recognition has rapidly become one of the most popular and
essential research topics in computer vision. The task is to analyze the characteristics of …
essential research topics in computer vision. The task is to analyze the characteristics of …
Fusing higher-order features in graph neural networks for skeleton-based action recognition
Skeleton sequences are lightweight and compact and thus are ideal candidates for action
recognition on edge devices. Recent skeleton-based action recognition methods extract …
recognition on edge devices. Recent skeleton-based action recognition methods extract …
Deep learning and RGB-D based human action, human–human and human–object interaction recognition: A survey
Human activity recognition is one of the most studied topics in the field of computer vision. In
recent years, with the availability of RGB-D sensors and powerful deep learning techniques …
recent years, with the availability of RGB-D sensors and powerful deep learning techniques …
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient
Recently, methods for skeleton-based human activity recognition have been shown to be
vulnerable to adversarial attacks. However, these attack methods require either the full …
vulnerable to adversarial attacks. However, these attack methods require either the full …
RULER: discriminative and iterative adversarial training for deep neural network fairness
Deep Neural Networks (DNNs) are becoming an integral part of many real-world
applications, such as autonomous driving and financial management. While these models …
applications, such as autonomous driving and financial management. While these models …
Towards Physical World Backdoor Attacks against Skeleton Action Recognition
Abstract Skeleton Action Recognition (SAR) has attracted significant interest for its efficient
representation of the human skeletal structure. Despite its advancements, recent studies …
representation of the human skeletal structure. Despite its advancements, recent studies …
A sparse attack method on skeleton-based human action recognition for intelligent metaverse application
Graph convolutional networks (GCNs) based skeleton human action recognition has been
one of the hottest techniques in intelligent Metaverse system applications in recent years …
one of the hottest techniques in intelligent Metaverse system applications in recent years …