Security threats in approximate computing systems

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

doi:10.1145/3299874.3319453

Security threats in approximate computing systems

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

24 Scopus citations

Abstract

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 language	English (US)
Title of host publication	GLSVLSI 2019 - Proceedings of the 2019 Great Lakes Symposium on VLSI
Publisher	Association for Computing Machinery
Pages	387-392
Number of pages	6
ISBN (Electronic)	9781450362528
DOIs	https://doi.org/10.1145/3299874.3319453
State	Published - May 13 2019
Externally published	Yes
Event	29th Great Lakes Symposium on VLSI, GLSVLSI 2019 - Tysons Corner, United States Duration: May 9 2019 → May 11 2019

Publication series

Name	Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI

Conference

Conference	29th Great Lakes Symposium on VLSI, GLSVLSI 2019
Country/Territory	United States
City	Tysons Corner
Period	5/9/19 → 5/11/19

Keywords

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

ASJC Scopus subject areas

General Engineering

Access to Document

10.1145/3299874.3319453

Cite this

Security threats in approximate computing systems. / Yellu, Pruthvy; Boskov, Novak; Kinsy, Michel A. et al.
GLSVLSI 2019 - Proceedings of the 2019 Great Lakes Symposium on VLSI. Association for Computing Machinery, 2019. p. 387-392 3319453 (Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yellu, P, Boskov, N, Kinsy, MA & Yu, Q 2019, Security threats in approximate computing systems. in GLSVLSI 2019 - Proceedings of the 2019 Great Lakes Symposium on VLSI., 3319453, Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI, Association for Computing Machinery, pp. 387-392, 29th Great Lakes Symposium on VLSI, GLSVLSI 2019, Tysons Corner, United States, 5/9/19. https://doi.org/10.1145/3299874.3319453

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language = "English (US)",

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AB - 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.

KW - Approximate computing

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KW - Error resilience

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KW - Image processing

KW - Machine learning

KW - Pcm

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M3 - Conference contribution

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Security threats in approximate computing systems

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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