WaC : first results on practical side-channel attacks on commercial machine learning accelerator

WaC : first results on practical side-channel attacks on commercial machine learning accelerator

Commercial machine learning accelerators like Intel neural Compute Stick 2 (NCS2) enable efficient inference on otherwise low resource edge devices. However, these accelerators are also ex- posed to new threats leveraging physical access. In this paper, we present the first results demonstrating pra...

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Bibliographic Details
Main Authors: Won, Yoo-Seung, Chatterjee, Soham, Jap, Dirmanto, Basu, Arindam, Bhasin, Shivam
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
Science::Mathematics::Discrete mathematics::Cryptography
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Machine Learning Accelerator
Intel Neural Compute Stick 2
Online Access:https://hdl.handle.net/10356/153409
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Institution: Nanyang Technological University
Language: English
Description
Summary:Commercial machine learning accelerators like Intel neural Compute Stick 2 (NCS2) enable efficient inference on otherwise low resource edge devices. However, these accelerators are also ex- posed to new threats leveraging physical access. In this paper, we present the first results demonstrating practical electromagnetic side-channel attack on NCS2, allowing secret weight recovery from executed models

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