On (in)security of edge-based machine learning against electromagnetic side-channels

On (in)security of edge-based machine learning against electromagnetic side-channels

Machine (deep) learning represents mainstream re- search and development direction. This success can be linked to the ever-increasing computational capabilities and vast amounts of available data, resulting in ever more sophisticated machine learning models. The design and training of such machine l...

Full description

Bibliographic Details
Main Authors: Bhasin, Shivam, Jap, Dirmanto, Picek, Stjepan
Other Authors: 2022 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI)
Format: Conference Paper
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Side-Channel Analysis
Machine Learning
Online Access:https://hdl.handle.net/10356/165224

Internet

https://hdl.handle.net/10356/165224

Similar Items