Chatgpt needs spade (sustainability, privacy, digital divide, and ethics) evaluation: A review

SA Khowaja, P Khuwaja, K Dev, W Wang… - Cognitive …, 2024 - Springer
ChatGPT is another large language model (LLM) vastly available for the consumers on their
devices but due to its performance and ability to converse effectively, it has gained a huge …

A Systematic Survey on 5G and 6G Security Considerations, Challenges, Trends, and Research Areas

P Scalise, M Boeding, M Hempel, H Sharif… - Future Internet, 2024 - mdpi.com
With the rapid rollout and growing adoption of 3GPP 5thGeneration (5G) cellular services,
including in critical infrastructure sectors, it is important to review security mechanisms, risks …

Lfgurad: A defense against label flip** attack in federated learning for vehicular network

KM Sameera, P Vinod, RR KA, M Conti - Computer Networks, 2024 - Elsevier
The explosive growth of the interconnected vehicle network creates vast amounts of data
within individual vehicles, offering exciting opportunities to develop advanced applications …

ZETA: Zero-trust attack framework with split learning for autonomous vehicles in 6G networks

SA Khowaja, P Khuwaja, K Dev, K Singh… - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
In past, due to data and model security concerns, modern communication systems mainly
focus on the use of edge computing devices for enabling immersive applications and …

[HTML][HTML] The good, the bad, and the algorithm: The impact of generative AI on cybersecurity

L Coppolino, S D'Antonio, G Mazzeo, F Uccello - Neurocomputing, 2025 - Elsevier
Abstract Generative Adversarial Networks (GANs) are emerging as a transformative
technology in cybersecurity, presenting both opportunities and challenges in enhancing …

Block Encryption LAyer (BELA): Zero-Trust Defense Against Model Inversion Attacks for Federated Learning in 5G/6G Systems

SA Khowaja, P Khuwaja, K Dev, K Singh… - IEEE Open Journal …, 2025 - ieeexplore.ieee.org
Federated Learning (FL) paradigm has been very popular in the implementation of 5G and
beyond communication systems as it provides necessary security for the users in terms of …

Deep Reinforcement Learning-Based Adversarial Defense in Vehicular Communication Systems

R Sedar, C Kalalas, F Vázquez-Gallego… - ICC 2024-IEEE …, 2024 - ieeexplore.ieee.org
One of the key concerns related to the pervasive integration of artificial intelligence and
machine learning (AI/ML) models in vehicular-to-everything (V2X) communication systems …

SLIP: Self-Supervised Learning Based Model Inversion and Poisoning Detection-Based Zero-Trust Systems for Vehicular Networks

SA Khowaja, L Nkenyereye, P Khowaja… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
The advances in communication networks and their integration with machine learning
technology have paved the way for ubiquitous and prediction-based services for consumers …

Spike learning based privacy preservation of Internet of Medical Things in Metaverse

SA Khowaja, K Dahri, MA Jarwar… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
With the rising trend of digital technologies, such as augmented and virtual reality,
Metaverse has gained a notable popularity. The applications that will eventually benefit from …

[PDF][PDF] ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review.

K Dev, W Wang, L Nkenyereye, G Fortino - 2023 - techrxiv.figshare.com
ChatGPT is another large language model (LLM) vastly available for the consumers on their
devices but due to its performance and ability to converse effectively, it has gained a huge …