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. |
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| 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 |
| ISSN: | 15504832 |
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| DOI: | 10.1145/3579033 |
