113 citations · 158 across the 10 of their papers we have counts for
10 papers
LightFAt: Mitigating Control-flow Explosion via Lightweight PMU-based Control-flow Attestation
Jeferson Gonzalez-Gomez, Hassan Nassar, Lars Bauer +1
With the continuous evolution of computational devices, more and more applications are being executed remotely. The applications operate on a wide spectrum of devices, ranging from…
Variability-Aware Approximate Circuit Synthesis via Genetic Optimization
Konstantinos Balaskas, Florian Klemme, Georgios Zervakis +3
One of the major barriers that CMOS devices face at nanometer scale is increasing parameter variation due to manufacturing imperfections. Process variations severely inhibit the re…
MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs
Lilas Alrahis, Hassan Nassar, Jonas Krautter +4
The security of cloud field-programmable gate arrays (FPGAs) faces challenges from untrusted users attempting fault and side-channel attacks through malicious circuit configuration…
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli +3
In today's digital age, Convolutional Neural Networks (CNNs), a subset of Deep Learning (DL), are widely used for various computer vision tasks such as image classification, object…
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey
Kilian Pfeiffer, Martin Rapp, Ramin Khalili +1
With an increasing number of smart devices like internet of things (IoT) devices deployed in the field, offloadingtraining of neural networks (NNs) to a central server becomes more…
Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris +2
Printed electronics (PE) promises on-demand fabrication, low non-recurring engineering costs, and sub-cent fabrication costs. It also allows for high customization that would be in…