Neural Network-Based Side Channel Attacks and Countermeasures - Details

Author：

Serpanos, Dimitrios (Serpanos, Dimitrios.) | Yang, Shengqi (Yang, Shengqi.) | Wolf, Marilyn (Wolf, Marilyn.)

Indexed by：

CPCI-S

Abstract：

This　paper　surveys　results　in　the　use　of　neural　networks　and　deep　learning　in　two　areas　of　hardware　security:　power　attacks　and　physically-unclonable　functions　(PUFs).

Keyword：

power attack deep learning machine learning physically unclonable function PUF hardware security

Author Community：

[ 1 ] [Serpanos, Dimitrios]Univ Patras, Dept ECE, Patras, Greece
[ 2 ] [Yang, Shengqi]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China
[ 3 ] [Wolf, Marilyn]Univ Nebraska, Dept CSE, Lincoln, NE USA

Reprint Author's Address：

[Serpanos, Dimitrios]Univ Patras, Dept ECE, Patras, Greece

Email：

serpanos@ece.patras.edu |
syang@bjut.edu.cn |
mwolf@unl.edu

Show more details

Related Keywords：

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Source ：

IEEE DESIGN AUTOMATION CONFERENCE (DAC)

ISSN： 0738-100X

Year： 2020

Language： English

Cited Count：

WoS CC Cited Count： 3

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 9

Affiliated Colleges：

信息科学技术学院本学院/部未明确归属的数据

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