AI Hardware Oriented Trojan Detection Architecture-Reference-Cited by-同舟云学术

AI Hardware Oriented Trojan Detection Architecture

Published:2022-03-25 Issue: Volume: Page:
ISSN:
Container-title:The 2022 5th International Conference on Electronics, Communications and Control Engineering
language:
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Author:

Takemoto Shu¹,Ikezaki Yoshiya¹,Nozaki Yusuke²,Yoshikawa Masaya²

Affiliation:

1. Graduate School of Science and Technology, Meijo University, Japan

2. Department of Information Engineering, Meijo University, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3531028.3531030

Reference15 articles.

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2. An SMT-Based Approach for Verifying Binarized Neural Networks. In the Lecture Notes in Computer Science;Amir G.;Springer,2021

3. R. Fuchikami , and F. Issiki . 2019. Fast and Light-weight Binarized Neural Network Implemented in an FPGA using LUT-based Signal Processing and its Time-domain Extension for Multi-bit Processing . In Proceedings of the 2019 IEEE 9th International Conference on Consumer Electronics . Berlin, Germany, 120–121, https://doi.org/10.1109/ICCE-Berlin47944. 2019 .8966187 R. Fuchikami, and F. Issiki. 2019. Fast and Light-weight Binarized Neural Network Implemented in an FPGA using LUT-based Signal Processing and its Time-domain Extension for Multi-bit Processing. In Proceedings of the 2019 IEEE 9th International Conference on Consumer Electronics. Berlin, Germany, 120–121, https://doi.org/10.1109/ICCE-Berlin47944.2019.8966187

4. S. Bhunia and M. M. Tehranipoor. 2018. The Hardware Trojan War. Springer https://doi.org/10.1007/978-3-319-68511-3 S. Bhunia and M. M. Tehranipoor. 2018. The Hardware Trojan War. Springer https://doi.org/10.1007/978-3-319-68511-3

5. J. Clements and Y. Lao. 2018. Hardware Trojan Attacks on Neural Networks. In the arXiv 1807.05768 1–9 http://arxiv.org/abs/1806.05768 J. Clements and Y. Lao. 2018. Hardware Trojan Attacks on Neural Networks. In the arXiv 1807.05768 1–9 http://arxiv.org/abs/1806.05768