Poster: When adversary becomes the guardian - Towards side-channel security with adversarial attacks

Stjepan Picek, Dirmanto Jap, Shivam Bhasin

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

Machine learning algorithms fall prey to adversarial examples. As profiling side-channel attacks are seeing rapid adoption of machine learning-based approaches that can even defeat commonly used side-channel countermeasures, we investigate the potential of adversarial example as a defense mechanism. We show that adversarial examples have the potential to serve as a countermeasure against machine learning-based side-channel attacks. Further, we exploit the transferability property to show that a common adversarial example can act as a countermeasure against a range of machine learning-based side-channel classifiers.

Original languageEnglish
Title of host publicationCCS '19
Subtitle of host publicationProceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages2673-2675
Number of pages3
ISBN (Print)978-1-4503-6747-9
DOIs
Publication statusPublished - 2019
Event26th ACM SIGSAC Conference on Computer and Communications Security, CCS 2019 - London, United Kingdom
Duration: 11 Nov 201915 Nov 2019

Conference

Conference26th ACM SIGSAC Conference on Computer and Communications Security, CCS 2019
CountryUnited Kingdom
CityLondon
Period11/11/1915/11/19

Keywords

  • Adversarial Examples
  • Machine Learning
  • Profiled Attacks
  • Side-channel Analysis

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