1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CR2024
A Divide-and-Conquer Strategy for Hard-Label Extraction of Deep Neural Networks via Side-Channel Attacks
Benoit Coqueret, Mathieu Carbone, Olivier Sentieys +1
During the past decade, Deep Neural Networks (DNNs) proved their value on a large variety of subjects. However despite their high value and public accessibility, the protection of…
cs.AI2023★ 1 cited
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence
Benoit Coqueret, Mathieu Carbone, Olivier Sentieys +1
Artificial intelligence, and specifically deep neural networks (DNNs), has rapidly emerged in the past decade as the standard for several tasks from specific advertising to object…