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Leaky Nets: Recovering Embedded Neural Network Models and Inputs through
  Simple Power and Timing Side-Channels -- Attacks and Defenses

Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses

IEEE Internet of Things Journal (IEEE IoT Journal), 2021
26 March 2021
Saurav Maji
Utsav Banerjee
A. Chandrakasan
    AAML
ArXiv (abs)PDFHTML

Papers citing "Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses"

12 / 12 papers shown
Selective KV-Cache Sharing to Mitigate Timing Side-Channels in LLM Inference
Selective KV-Cache Sharing to Mitigate Timing Side-Channels in LLM Inference
Kexin Chu
Zecheng Lin
Dawei Xiang
Zixu Shen
Jianchang Su
Cheng Chu
Yiwei Yang
Wenhui Zhang
Wenfei Wu
Wei Zhang
117
12
0
11 Aug 2025
Side-Channel Extraction of Dataflow AI Accelerator Hardware Parameters
Side-Channel Extraction of Dataflow AI Accelerator Hardware ParametersIEEE International Symposium on On-Line Testing and Robust System Design (IOLTS), 2025
Guillaume Lomet
Ruben Salvador
Brice Colombier
Vincent Grosso
Olivier Sentieys
Cedric Killian
188
1
0
18 Jun 2025
A Divide-and-Conquer Strategy for Hard-Label Extraction of Deep Neural Networks via Side-Channel Attacks
A Divide-and-Conquer Strategy for Hard-Label Extraction of Deep Neural Networks via Side-Channel AttacksIACR Cryptology ePrint Archive (IACR ePrint), 2024
Benoît Coqueret
Mathieu Carbone
Olivier Sentieys
Gabriel Zaid
AAMLMLAUFedML
319
3
0
15 Nov 2024
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 MicrocontrollersSmart Card Research and Advanced Application Conference (CARDIS), 2023
Raphael Joud
Pierre-Alain Moëllic
S. Pontié
J. Rigaud
349
5
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
277
4
0
26 Oct 2023
Impedance Leakage Vulnerability and its Utilization in
  Reverse-engineering Embedded Software
Impedance Leakage Vulnerability and its Utilization in Reverse-engineering Embedded SoftwareACM Journal on Emerging Technologies in Computing Systems (JETC), 2023
Md. Sadik Awal
Md Tauhidur Rahman
291
5
0
04 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
SILMMIACV
344
6
0
31 Aug 2023
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private
  Inference
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private InferenceDesign Automation Conference (DAC), 2023
Yuke Zhang
Dake Chen
Souvik Kundu
Haomei Liu
Ruiheng Peng
Peter A. Beerel
233
11
0
26 Apr 2023
A Practical Introduction to Side-Channel Extraction of Deep Neural
  Network Parameters
A Practical Introduction to Side-Channel Extraction of Deep Neural Network ParametersSmart Card Research and Advanced Application Conference (CARDIS), 2022
Raphael Joud
Pierre-Alain Moëllic
S. Pontié
J. Rigaud
AAMLMIACVMLAU
266
16
0
10 Nov 2022
Special Session: Towards an Agile Design Methodology for Efficient,
  Reliable, and Secure ML Systems
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML SystemsIEEE VLSI Test Symposium (VTS), 2022
Shail Dave
Alberto Marchisio
Muhammad Abdullah Hanif
Amira Guesmi
Aviral Shrivastava
Ihsen Alouani
Mohamed Bennai
288
14
0
18 Apr 2022
Physical Side-Channel Attacks on Embedded Neural Networks: A Survey
Physical Side-Channel Attacks on Embedded Neural Networks: A SurveyApplied Sciences (AS), 2021
M. M. Real
Ruben Salvador
AAML
330
49
0
21 Oct 2021
A Review of Confidentiality Threats Against Embedded Neural Network
  Models
A Review of Confidentiality Threats Against Embedded Neural Network ModelsWorld Forum on Internet of Things (WF-IoT), 2021
Raphael Joud
Pierre-Alain Moëllic
Rémi Bernhard
J. Rigaud
246
6
0
04 May 2021
1
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