Leveraging Intermediate Node Evaluation to Secure Approximate Computing for AI Applications

Author:

Yellu Pruthvy1,Chennagouni Nishanth1,Yu Qiaoyan1

Affiliation:

1. University of New Hampshire,Department of Electrical and Computer Engineering,Durham,NH,03824

Funder

National Science Foundation

Publisher

IEEE

Reference23 articles.

1. New metrics for the reliability of approximate and probabilistic adders;liang;IEEE TCAD 2013,2013

2. Approximate quaternary addition with the fast carry chains of FPGAs

3. Practical Fault Attack on Deep Neural Networks

4. Accuracy-configurable adder for approximate arithmetic designs

5. A low-power, high-performance approximate multiplier with configurable partial error recovery;liu;Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014,2014

Cited by 1 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. Feature-driven Approximate Computing for Wearable Health-Monitoring Systems;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12

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