Security threats in approximate computing systems

Pruthvy Yellu, Novak Boskov, Michel A. Kinsy, Qiaoyan Yu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Scopus citations


Approximate computing systems improve energy efficiency and computation speed at the cost of reduced accuracy on system outputs. Existing efforts mainly explore the feasible approximation mechanisms and their implementation methods. There is limited work that investigates the security threats brought by approximate computing. To fill this gap, we first analyze the approximate mechanisms used in approximate system, software, storage, and arithmetic circuits, and then propose potential attacks that will challenge the integrity and security of approximate systems. Some illustrative examples are provided accordingly to showcase the consequences of the proposed new attacks.

Original languageEnglish (US)
Title of host publicationGLSVLSI 2019 - Proceedings of the 2019 Great Lakes Symposium on VLSI
PublisherAssociation for Computing Machinery
Number of pages6
ISBN (Electronic)9781450362528
StatePublished - May 13 2019
Externally publishedYes
Event29th Great Lakes Symposium on VLSI, GLSVLSI 2019 - Tysons Corner, United States
Duration: May 9 2019May 11 2019

Publication series

NameProceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI


Conference29th Great Lakes Symposium on VLSI, GLSVLSI 2019
Country/TerritoryUnited States
CityTysons Corner


  • Approximate computing
  • Dram
  • Error resilience
  • Hardware security
  • Image processing
  • Machine learning
  • Pcm
  • SRAM

ASJC Scopus subject areas

  • General Engineering


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