Poster : recovering the input of neural networks via single shot side-channel attacks

Poster : recovering the input of neural networks via single shot side-channel attacks

The interplay between machine learning and security is becoming more prominent. New applications using machine learning also bring new security risks. Here, we show it is possible to reverse-engineer the inputs to a neural network with only a single-shot side-channel measurement assuming the attacke...

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Bibliographic Details
Main Authors: Batina, Lejla, Jap, Dirmanto, Bhasin, Shivam, Picek, Stjepan
Other Authors: Conference on Computer and Communications Security (CCS 2019)
Format: Conference Paper
Language:English
Published: 2021
Subjects:
Science::Mathematics::Discrete mathematics::Cryptography
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Neural Networks
Side-channel Analysis
Online Access:https://hdl.handle.net/10356/148356

Internet

https://hdl.handle.net/10356/148356

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