20 citations · 50 across the 7 of their papers we have counts for
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cs.NE2022★ 18 cited
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks
Alessio Colucci, Andreas Steininger, Muhammad Shafique
Research on Deep Neural Networks (DNNs) has focused on improving performance and accuracy for real-world deployments, leading to new models, such as Spiking Neural Networks (SNNs),…
cs.CR2022
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks
Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci +2
The advancements of deep neural networks (DNNs) have led to their deployment in diverse settings, including safety and security-critical applications. As a result, the characterist…