217 citations · 803 across the 83 of their papers we have counts for
3 papers · 1 filter
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks
Farzad Nikfam, Raffaele Casaburi, Alberto Marchisio +2
Machine learning (ML) is widely used today, especially through deep neural networks (DNNs), however, increasing computational load and resource requirements have led to cloud-based…
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework
Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra +1
The security and privacy concerns along with the amount of data that is required to be processed on regular basis has pushed processing to the edge of the computing systems. Deploy…
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips
Valerio Venceslai, Alberto Marchisio, Ihsen Alouani +2
Due to their proven efficiency, machine-learning systems are deployed in a wide range of complex real-life problems. More specifically, Spiking Neural Networks (SNNs) emerged as a…