Machine Learning Attacks‐Resistant Security by Mixed‐Assembled Layers‐Inserted Graphene Physically Unclonable Function (Adv. Sci. 30/2023): Fid-Bau Portal

Machine Learning Attacks‐Resistant Security by Mixed‐Assembled Layers‐Inserted Graphene Physically Unclonable Function (Adv. Sci. 30/2023)

Lee, Subin / Jang, Byung Chul / Kim, Minseo / Lim, Si Heon / Ko, Eunbee / Kim, Hyun Ho / Yoo, Hocheon

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Machine Learning Attacks‐Resistant Security by Mixed‐Assembled Layers‐Inserted Graphene Physically Unclonable Function (Adv. Sci. 30/2023)

Lee, Subin / Jang, Byung Chul / Kim, Minseo / Lim, Si Heon / Ko, Eunbee / Kim, Hyun Ho / Yoo, Hocheon

Machine Learning Attacks‐Resistant Security by Mixed‐Assembled Layers‐Inserted Graphene Physically Unclonable Function (Adv. Sci. 30/2023)

Lee, Subin / Jang, Byung Chul / Kim, Minseo / Lim, Si Heon / Ko, Eunbee / Kim, Hyun Ho / Yoo, Hocheon

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Dokumentinformationen

Titel:

Machine Learning Attacks‐Resistant Security by Mixed‐Assembled Layers‐Inserted Graphene Physically Unclonable Function (Adv. Sci. 30/2023)

Beteiligte:

Lee, Subin (Autor:in) / Jang, Byung Chul (Autor:in) / Kim, Minseo (Autor:in) / Lim, Si Heon (Autor:in) / Ko, Eunbee (Autor:in) / Kim, Hyun Ho (Autor:in) / Yoo, Hocheon (Autor:in)

Erschienen in:

Advanced Science ; 10

Erscheinungsdatum:

01.10.2023

Format / Umfang:

1 pages

ISSN:

2198-3844

DOI:

https://doi.org/10.1002/advs.202370204

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Englisch

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