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researcher

J. Rigaud

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CR2
  • cs.AR1

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedA Practical Introduction to Side-Channel Extraction of Deep Neural Network Parameters

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.AR2024

Using a Performance Model to Implement a Superscalar CVA6

Côme Allart, Jean-Roch Coulon, André Sintzoff +2

A performance model of CVA6 RISC-V processor is built to evaluate performance related modifications before implementing them in RTL. Its accuracy is 99.2% on CoreMark. This model i…

cs.CR2022★ 1 cited

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…

cs.CR2021

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.