4 papers
Privacy-Preserving Spiking Neural Networks: A Deep Dive into Encryption Parameter Optimisation
Mahitha Pulivathi, Ana Fontes Rodrigues, Isibor Kennedy Ihianle +3
Deep learning is widely applied to modern problems through neural networks, but the growing computational and energy demands of these models have driven interest in more efficient…
SteganoSNN: SNN-Based Audio-in-Image Steganography with Encryption
Biswajit Kumar Sahoo, Pedro Machado, Isibor Kennedy Ihianle +2
Secure data hiding remains a fundamental challenge in digital communication, requiring a careful balance between computational efficiency and perceptual transparency. The balance b…
SmartAntenna: Enhancing Wireless Range with Autonomous Orientation
Michael Swann, Pedro Machado, Isibor Kennedy Ihianle +3
The SmartAntenna proposes a novel approach to extend wireless communication, focusing on autonomous orientation to extend range and optimize performance. Through meticulous evaluat…
Dynamic Training of Liquid State Machines
Pavithra Koralalage, Ireoluwa Fakeye, Pedro Machado +5
Spiking Neural Networks (SNNs) emerged as a promising solution in the field of Artificial Neural Networks (ANNs), attracting the attention of researchers due to their ability to mi…