Amir Ali Pour, David Hély, Vincent Beroulle, Giorgio Di Natale. An Efficient Approach to Model Strong PUF with Multi-Layer Perceptron using Transfer Learning. In 23rd International Symposium on Quality Electronic Design, ISQED 2022, Santa Clara, CA, USA, April 6-7, 2022. pages 1-6, IEEE, 2022. [doi]
@inproceedings{PourHBN22a,
title = {An Efficient Approach to Model Strong PUF with Multi-Layer Perceptron using Transfer Learning},
author = {Amir Ali Pour and David Hély and Vincent Beroulle and Giorgio Di Natale},
year = {2022},
doi = {10.1109/ISQED54688.2022.9806257},
url = {https://doi.org/10.1109/ISQED54688.2022.9806257},
researchr = {https://researchr.org/publication/PourHBN22a},
cites = {0},
citedby = {0},
pages = {1-6},
booktitle = {23rd International Symposium on Quality Electronic Design, ISQED 2022, Santa Clara, CA, USA, April 6-7, 2022},
publisher = {IEEE},
isbn = {978-1-6654-9466-3},
}