Metaverse is a living space and cyberspace that realizes the process of virtualizing and
digitizing the real world. It integrates a plethora of existing technologies with the goal of …

This work provides the community with a timely comprehensive review of backdoor attacks
and countermeasures on deep learning. According to the attacker's capability and affected …

Anomaly detection is an important problem that has been well-studied within diverse
research areas and application domains. The aim of this survey is two-fold, firstly we present …

Lack of transparency in deep neural networks (DNNs) make them susceptible to backdoor
attacks, where hidden associations or triggers override normal classification to produce …

A recent trojan attack on deep neural network (DNN) models is one insidious variant of data
poisoning attacks. Trojan attacks exploit an effective backdoor created in a DNN model by …

Deep Learning (DL) algorithms based on artificial neural networks have achieved
remarkable success and are being extensively applied in a variety of application domains …

This paper investigates strategies that defend against adversarial-example attacks on image-
classification systems by transforming the inputs before feeding them to the system …

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 …

Verifying the robustness property of a general Rectified Linear Unit (ReLU) network is an NP-
complete problem. Although finding the exact minimum adversarial distortion is hard, giving …

The robustness of neural networks to adversarial examples has received great attention due
to security implications. Despite various attack approaches to crafting visually imperceptible …