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A Practical Introduction to Side-Channel Extraction of Deep Neural
  Network Parameters

A Practical Introduction to Side-Channel Extraction of Deep Neural Network Parameters

10 November 2022
Raphael Joud
Pierre-Alain Moëllic
S. Pontié
J. Rigaud
    AAML
    MIACV
    MLAU
ArXivPDFHTML

Papers citing "A Practical Introduction to Side-Channel Extraction of Deep Neural Network Parameters"

11 / 11 papers shown
Title
A Hard-Label Cryptanalytic Extraction of Non-Fully Connected Deep Neural
  Networks using Side-Channel Attacks
A Hard-Label Cryptanalytic Extraction of Non-Fully Connected Deep Neural Networks using Side-Channel Attacks
Benoît Coqueret
Mathieu Carbone
Olivier Sentieys
Gabriel Zaid
AAML
MLAU
42
0
0
15 Nov 2024
BarraCUDA: GPUs do Leak DNN Weights
BarraCUDA: GPUs do Leak DNN Weights
Péter Horváth
Lukasz Chmielewski
Léo Weissbart
L. Batina
Y. Yarom
33
0
0
12 Dec 2023
When Side-Channel Attacks Break the Black-Box Property of Embedded
  Artificial Intelligence
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence
Benoît Coqueret
Mathieu Carbone
Olivier Sentieys
Gabriel Zaid
58
2
0
23 Nov 2023
Like an Open Book? Read Neural Network Architecture with Simple Power
  Analysis on 32-bit Microcontrollers
Like an Open Book? Read Neural Network Architecture with Simple Power Analysis on 32-bit Microcontrollers
Raphael Joud
Pierre-Alain Moëllic
S. Pontié
J. Rigaud
27
4
0
02 Nov 2023
BlackJack: Secure machine learning on IoT devices through hardware-based
  shuffling
BlackJack: Secure machine learning on IoT devices through hardware-based shuffling
Karthik Ganesan
Michal Fishkin
Ourong Lin
Natalie Enright Jerger
24
4
0
26 Oct 2023
Polynomial Time Cryptanalytic Extraction of Neural Network Models
Polynomial Time Cryptanalytic Extraction of Neural Network Models
Adi Shamir
Isaac Canales-Martínez
Anna Hambitzer
J. Chávez-Saab
Francisco Rodríguez-Henríquez
Nitin Satpute
AAML
MLAU
45
13
0
12 Oct 2023
Fault Injection and Safe-Error Attack for Extraction of Embedded Neural
  Network Models
Fault Injection and Safe-Error Attack for Extraction of Embedded Neural Network Models
Kevin Hector
Pierre-Alain Moëllic
Mathieu Dumont
J. Dutertre
SILM
MIACV
30
5
0
31 Aug 2023
Fault Injection on Embedded Neural Networks: Impact of a Single
  Instruction Skip
Fault Injection on Embedded Neural Networks: Impact of a Single Instruction Skip
Clément Gaine
Pierre-Alain Moëllic
O. Potin
J. Dutertre
AAML
SILM
26
1
0
31 Aug 2023
Evaluation of Parameter-based Attacks against Embedded Neural Networks
  with Laser Injection
Evaluation of Parameter-based Attacks against Embedded Neural Networks with Laser Injection
Mathieu Dumont
Kevin Hector
Pierre-Alain Moëllic
J. Dutertre
S. Pontié
AAML
26
2
0
25 Apr 2023
A Review of Confidentiality Threats Against Embedded Neural Network
  Models
A Review of Confidentiality Threats Against Embedded Neural Network Models
Raphael Joud
Pierre-Alain Moëllic
Rémi Bernhard
J. Rigaud
28
6
0
04 May 2021
Cryptanalytic Extraction of Neural Network Models
Cryptanalytic Extraction of Neural Network Models
Nicholas Carlini
Matthew Jagielski
Ilya Mironov
FedML
MLAU
MIACV
AAML
75
134
0
10 Mar 2020
1