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Funded Research

Differential Power Analysis of Deep Neural Networks with Mitigation at the Architecture Level

Sponsored by Semiconductor Research Corporation

Aydin Aysu
Paul D. Franzon

Project runs from 10/01/2019 to 09/30/2020
$210,000

This proposal analyzes the vulnerability of deep neural network hardware implementations against power/electromagnetic side-channel attacks and their effective and automatic mitigation through architectural enhancements and compiler support. We will enhance RISC-V based microcontrollers through custom instruction extensions and use side-channel aware compilers to let programmers write side-channel secure software. The project will tape-out proof-of-concept chips with the proposed techniques.

Paul Franzon

Paul Franzon

Cirrus Logic Distinguished Professor
Director of Graduate Programs

 Monteith Research Center (MRC) 443
  paulf@ncsu.edu
  Website
Aydin Aysu

Aydin Aysu

Assistant Professor

 Engineering Building II (EB2) 3076
  aaysu@ncsu.edu
  Website
  @aaysu_NCSU

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Department of Electrical and Computer Engineering

890 Oval Drive
3114 Engineering Building II
Raleigh, NC 27606

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