Timing Black-Box Attacks: Crafting Adversarial Examples through Timing Leaks against DNNs on Embedded Devices

Timing Black-Box Attacks: Crafting Adversarial Examples through Timing Leaks against DNNs on Embedded Devices

Deep neural networks (DNNs) have been applied to various industries. In particular, DNNs on embedded devices have attracted considerable interest because they allow real-time and distributed processing on site. However, adversarial examples (AEs), which add small perturbations to the input data of D...

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Bibliographic Details
Main Authors: Tsunato Nakai, Daisuke Suzuki, Takeshi Fujino
Format: Article
Language:English
Published: Ruhr-Universität Bochum 2021-07-01
Series:Transactions on Cryptographic Hardware and Embedded Systems
Subjects:
Adversarial examples
Black-box attack
Timing side-channel
Embedded devices
Online Access:https://tches.iacr.org/index.php/TCHES/article/view/8971

Internet

https://tches.iacr.org/index.php/TCHES/article/view/8971

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