1 citations · 1 across the 4 of their papers we have counts for
4 papers
Stealing AI Model Weights Through Covert Communication Channels
Valentin Barbaza, Alan Rodrigo Diaz-Rizo, Hassan Aboushady +2
AI models are often regarded as valuable intellectual property due to the high cost of their development, the competitive advantage they provide, and the proprietary techniques inv…
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
Spyridon Raptis, Haralampos-G. Stratigopoulos
As Spiking Neural Networks (SNNs) gain traction across various applications, understanding their security vulnerabilities becomes increasingly important. In this work, we focus on…
Input-Triggered Hardware Trojan Attack on Spiking Neural Networks
Spyridon Raptis, Paul Kling, Ioannis Kaskampas +2
Neuromorphic computing based on spiking neural networks (SNNs) is emerging as a promising alternative to traditional artificial neural networks (ANNs), offering unique advantages i…
SpikeFI: A Fault Injection Framework for Spiking Neural Networks
Theofilos Spyrou, Said Hamdioui, Haralampos-G. Stratigopoulos
Neuromorphic computing and spiking neural networks (SNNs) are gaining traction across various artificial intelligence (AI) tasks thanks to their potential for efficient energy usag…