hysically unclonable functions (PUFs) are hardware security primitives that utilize non-reproducible manufacturing variations to provide device-specific challenge-response pairs (CRPs). Such primitives are desirable for applications such as communication and intellectual property protection. PUFs have been gaining considerable interest from both the academic and industrial communities because of their simplicity and stability. However, many recent studies have exposed PUFs to machine-learning (ML) modeling attacks.

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[1] Yuqiu Jiang, yangpingqing Hu, "MRO_rawdata", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/ykx9-df12. Accessed: Oct. 02, 2023.
doi = {10.21227/ykx9-df12},
url = {http://dx.doi.org/10.21227/ykx9-df12},
author = {Yuqiu Jiang; yangpingqing Hu },
publisher = {IEEE Dataport},
title = {MRO_rawdata},
year = {2022} }
T1 - MRO_rawdata
AU - Yuqiu Jiang; yangpingqing Hu
PY - 2022
PB - IEEE Dataport
UR - 10.21227/ykx9-df12
ER -
Yuqiu Jiang, yangpingqing Hu. (2022). MRO_rawdata. IEEE Dataport. http://dx.doi.org/10.21227/ykx9-df12
Yuqiu Jiang, yangpingqing Hu, 2022. MRO_rawdata. Available at: http://dx.doi.org/10.21227/ykx9-df12.
Yuqiu Jiang, yangpingqing Hu. (2022). "MRO_rawdata." Web.
1. Yuqiu Jiang, yangpingqing Hu. MRO_rawdata [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/ykx9-df12
Yuqiu Jiang, yangpingqing Hu. "MRO_rawdata." doi: 10.21227/ykx9-df12