Unleashing the power of edge-cloud generative AI in mobile networks: A survey of AIGC services

M Xu, H Du, D Niyato, J Kang, Z **ong… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …

A comprehensive review of cyber-attacks and defense mechanisms for improving security in smart grid energy systems: Past, present and future

M Ghiasi, T Niknam, Z Wang, M Mehrandezh… - Electric Power Systems …, 2023 - Elsevier
Due to the advancement in communication networks, metering and smart control systems,
as well as the prevalent use of Internet-based structures, new forms of power systems have …

[HTML][HTML] Generative AI in medical practice: in-depth exploration of privacy and security challenges

Y Chen, P Esmaeilzadeh - Journal of Medical Internet Research, 2024 - jmir.org
As advances in artificial intelligence (AI) continue to transform and revolutionize the field of
medicine, understanding the potential uses of generative AI in health care becomes …

[PDF][PDF] Emerging challenges in cloud computing security: A comprehensive review

AKY Yanamala - International Journal of Advanced …, 2024 - thesisexpertsofficial.com
Cloud computing has revolutionized the way businesses and individuals store, access, and
process data, offering unprecedented flexibility and scalability. However, this paradigm shift …

Digital twin: A comprehensive survey of security threats

C Alcaraz, J Lopez - IEEE Communications Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Industry 4.0 is having an increasingly positive impact on the value chain by modernizing and
optimizing the production and distribution processes. In this streamline, the digital twin (DT) …

State-of-the-art and research opportunities for next-generation consumer electronics

CK Wu, CT Cheng, Y Uwate, G Chen… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The tremendous advancement of Internet-of-Things (IoT) has proliferated the interaction
between the physical and cyber worlds. Consumer electronics, as the first tier in the physical …

Lira: Learnable, imperceptible and robust backdoor attacks

K Doan, Y Lao, W Zhao, P Li - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Recently, machine learning models have demonstrated to be vulnerable to backdoor
attacks, primarily due to the lack of transparency in black-box models such as deep neural …

Adversarial attacks and defenses in machine learning-empowered communication systems and networks: A contemporary survey

Y Wang, T Sun, S Li, X Yuan, W Ni… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Adversarial attacks and defenses in machine learning and deep neural network (DNN) have
been gaining significant attention due to the rapidly growing applications of deep learning in …

When machine learning meets privacy: A survey and outlook

B Liu, M Ding, S Shaham, W Rahayu… - ACM Computing …, 2021 - dl.acm.org
The newly emerged machine learning (eg, deep learning) methods have become a strong
driving force to revolutionize a wide range of industries, such as smart healthcare, financial …

Edge learning for 6G-enabled internet of things: A comprehensive survey of vulnerabilities, datasets, and defenses

MA Ferrag, O Friha, B Kantarci… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The deployment of the fifth-generation (5G) wireless networks in Internet of Everything (IoE)
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …