The Roles of Adversarial Examples on Trustworthiness of Deep Learning

Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)

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Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Mathematics and Computer Science
Supervisors/Advisors	Pechenizkiy, Mykola, Promotor Menkovski, V., Copromotor Pei, Yulong, Copromotor
Award date	28 Feb 2023
Place of Publication	Eindhoven
Publisher	Eindhoven University of Technology
Print ISBNs	978-90-386-5681-6
Publication status	Published - 28 Feb 2023

Proefschrift.

Access to Document

@phdthesis{1ec15b0b1ca54e419bd4962d40697cfa,

title = "The Roles of Adversarial Examples on Trustworthiness of Deep Learning",

author = "Tianjin Huang",

note = "Proefschrift.",

year = "2023",

month = feb,

day = "28",

language = "English",

isbn = "978-90-386-5681-6",

series = "SIKS Dissertation Series",

publisher = "Eindhoven University of Technology",

type = "Phd Thesis 1 (Research TU/e / Graduation TU/e)",

school = "Mathematics and Computer Science",

}