1 citations · 2 across the 3 of their papers we have counts for
3 papers
Like an Open Book? Read Neural Network Architecture with Simple Power Analysis on 32-bit Microcontrollers
Raphael Joud, Pierre-Alain Moellic, Simon Pontie +1
Model extraction is a growing concern for the security of AI systems. For deep neural network models, the architecture is the most important information an adversary aims to recove…
A Practical Introduction to Side-Channel Extraction of Deep Neural Network Parameters
Raphael Joud, Pierre-Alain Moellic, Simon Pontie +1
Model extraction is a major threat for embedded deep neural network models that leverages an extended attack surface. Indeed, by physically accessing a device, an adversary may exp…
A Review of Confidentiality Threats Against Embedded Neural Network Models
Raphaël Joud, Pierre-Alain Moellic, Rémi Bernhard +1
Utilization of Machine Learning (ML) algorithms, especially Deep Neural Network (DNN) models, becomes a widely accepted standard in many domains more particularly IoT-based systems…