[HTML][HTML] Adversarial attack detection framework based on optimized weighted conditional stepwise adversarial network
K Barik, S Misra, L Fernandez-Sanz - International Journal of Information …, 2024 - Springer
Abstract Artificial Intelligence (AI)-based IDS systems are susceptible to adversarial attacks
and face challenges such as complex evaluation methods, elevated false positive rates …
and face challenges such as complex evaluation methods, elevated false positive rates …
Federated Learning for Misbehaviour Detection with Variational Autoencoders and Gaussian Mixture Models
Federated Learning (FL) has become an attractive approach to collaboratively train Machine
Learning (ML) models while data sources' privacy is still preserved. However, most of …
Learning (ML) models while data sources' privacy is still preserved. However, most of …
FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning
Federated Learning (FL) represents a promising approach to typical privacy concerns
associated with centralized Machine Learning (ML) deployments. Despite its well-known …
associated with centralized Machine Learning (ML) deployments. Despite its well-known …