AccShield: a New Trusted Execution Environment with Machine-Learning Accelerators-Reference-Cited by-同舟云学术

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AccShield: a New Trusted Execution Environment with Machine-Learning Accelerators

Published:2023-07-09 Issue: Volume: Page:
ISSN:
Container-title:2023 60th ACM/IEEE Design Automation Conference (DAC)
language:
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Author:

Ren Wei¹,Kozlowski William¹,Koteshwara Sandhya²,Ye Mengmei²,Franke Hubertus²,Chen Deming¹

Affiliation:

1. University of Illinois Urbana-Champaign

2. IBM Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10247654/10247655/10247768.pdf?arnumber=10247768

Reference37 articles.

1. Sanctum: Minimal Hardware Extensions for Strong Software Isolation;costan;USENIX SEC'16,2016

2. Security Protocol and Data Model Specification,2021

3. Strengthening VM isolation with integrity protection and more,2020

4. Silicon physical random functions

5. Intel Trust Domain Extensions,2022

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. S2TAR: Shared Secure Trusted Accelerators with Reconfiguration for Machine Learning in the Cloud;2024 IEEE 17th International Conference on Cloud Computing (CLOUD);2024-07-07

2. Securing AI Inference in the Cloud: Is CPU-GPU Confidential Computing Ready?;2024 IEEE 17th International Conference on Cloud Computing (CLOUD);2024-07-07

3. sNPU: Trusted Execution Environments on Integrated NPUs;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

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