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AroMa: Evaluating Deep Learning Systems for Stealthy Integrity Attacks on Multi-tenant Accelerators.

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Title: AroMa: Evaluating Deep Learning Systems for Stealthy Integrity Attacks on Multi-tenant Accelerators.
Authors: XIANGRU CHEN1, cxr1994816@ufl.edu, MERUGU, MANEESH1, maneesh.merugu@ufl.edu, JIAQI ZHANG1, jiaqizhang@ufl.edu, RAY, SANDIP1, sandip@ece.ufl.edu
Source: ACM Journal on Emerging Technologies in Computing Systems; Apr2023, Vol. 19 Issue 2, p1-17, 17p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: AroMa: Evaluating Deep Learning Systems for Stealthy Integrity Attacks on Multi-tenant Accelerators.
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  Data: <searchLink fieldCode="AU" term="%22XIANGRU+CHEN%22">XIANGRU CHEN</searchLink><relatesTo>1</relatesTo>, <i>cxr1994816@ufl.edu</i><br /><searchLink fieldCode="AU" term="%22MERUGU%2C+MANEESH%22">MERUGU, MANEESH</searchLink><relatesTo>1</relatesTo>, <i>maneesh.merugu@ufl.edu</i><br /><searchLink fieldCode="AU" term="%22JIAQI+ZHANG%22">JIAQI ZHANG</searchLink><relatesTo>1</relatesTo>, <i>jiaqizhang@ufl.edu</i><br /><searchLink fieldCode="AU" term="%22RAY%2C+SANDIP%22">RAY, SANDIP</searchLink><relatesTo>1</relatesTo>, <i>sandip@ece.ufl.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22ACM+Journal+on+Emerging+Technologies+in+Computing+Systems%22">ACM Journal on Emerging Technologies in Computing Systems</searchLink>; Apr2023, Vol. 19 Issue 2, p1-17, 17p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=164138550
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        Value: 10.1145/3579033
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      – Code: eng
        Text: English
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      – TitleFull: AroMa: Evaluating Deep Learning Systems for Stealthy Integrity Attacks on Multi-tenant Accelerators.
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            NameFull: XIANGRU CHEN
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              Text: Apr2023
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              Y: 2023
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              Value: 19
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