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20192026
most citedSideLine: How Delay-Lines (May) Leak Secrets from your SoC

18 citations · 18 across the 10 of their papers we have counts for

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Showing cs.CRShow all

7 papers · 1 filter

cs.CR2026

Model Poisoning Against Federated Model Adaptation with Chain of Bit-Flips

Bastien Vuillod, Kevin Hector, Pierre-Alain Moellic +2

Federated Learning (FL) allows a set of clients to collectively train a global model without sharing local training data. Giving the responsibility of the training to decentralized…

cs.CR2023

Fault Injection on Embedded Neural Networks: Impact of a Single Instruction Skip

Clement Gaine, Pierre-Alain Moellic, Olivier Potin +1

With the large-scale integration and use of neural network models, especially in critical embedded systems, their security assessment to guarantee their reliability is becoming an…

cs.CR2023

Fault Injection and Safe-Error Attack for Extraction of Embedded Neural Network Models

Kevin Hector, Pierre-Alain Moellic, Mathieu Dumont +1

Model extraction emerges as a critical security threat with attack vectors exploiting both algorithmic and implementation-based approaches. The main goal of an attacker is to steal…

cs.CR2023

Evaluation of Parameter-based Attacks against Embedded Neural Networks with Laser Injection

Mathieu Dumont, Kevin Hector, Pierre-Alain Moellic +2

Upcoming certification actions related to the security of machine learning (ML) based systems raise major evaluation challenges that are amplified by the large-scale deployment of…

cs.CR2022

A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural Networks

Kevin Hector, Mathieu Dumont, Pierre-Alain Moellic +1

Deep neural network models are massively deployed on a wide variety of hardware platforms. This results in the appearance of new attack vectors that significantly extend the standa…

cs.CR2021

An Overview of Laser Injection against Embedded Neural Network Models

Mathieu Dumont, Pierre-Alain Moellic, Raphael Viera +2

For many IoT domains, Machine Learning and more particularly Deep Learning brings very efficient solutions to handle complex data and perform challenging and mostly critical tasks.…

cs.CR2020★ 18 cited

SideLine: How Delay-Lines (May) Leak Secrets from your SoC

Joseph Gravellier, Jean-Max Dutertre, Yannick Teglia +1

To meet the ever-growing need for performance in silicon devices, SoC providers have been increasingly relying on software-hardware cooperation. By controlling hardware resources s…