Blurring Boundaries: A New Way to Secure Approximate Computing Systems

Author:

Yellu Pruthvy1,Buell Landon1,Xu Dongpeng1,Yu Qiaoyan1

Affiliation:

1. University of New Hampshire, Dover, NH, USA

Funder

National Science Foundation

Publisher

ACM

Reference21 articles.

Cited by 6 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. A Method for Swift Selection of Appropriate Approximate Multipliers for CNN Hardware Accelerators;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

2. Tamper Resistant Design of Convolutional Neural Network Hardware Accelerator;2023 Asian Hardware Oriented Security and Trust Symposium (AsianHOST);2023-12-13

3. Securing Approximate Computing Systems via Obfuscating Approximate-Precise Boundary;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-01

4. INEAD: Intermediate Node Evaluation-based Attack Detection for Secure Approximate Computing Systems;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023

5. Leveraging Intermediate Node Evaluation to Secure Approximate Computing for AI Applications;2022 IEEE International Symposium on Technologies for Homeland Security (HST);2022-11-14

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