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pro vyhledávání: '"Dixon Michael"'
Autor:
Ramasse Quentin, Kepaptsoglou Demie, Sunaoshi Takeshi, Kaji Kazutoshi, Okada Satoshi, Yamazawa Yu, Saito Tsutomu, Dixon Michael, Collins Sean, Azough Feridoon, Freer Robert
Publikováno v:
BIO Web of Conferences, Vol 129, p 05009 (2024)
Externí odkaz:
https://doaj.org/article/3b18864a64be4667be4368cb711407e6
It is shown that a class of optical physical unclonable functions (PUFs) can be learned to arbitrary precision with arbitrarily high probability, even in the presence of noise, given access to polynomially many challenge-response pairs and polynomial
Externí odkaz:
http://arxiv.org/abs/2308.09199
