Securing machine learning models: Notions and open issues

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Original language	British English
Title of host publication	Engineering Mathematics and Artificial Intelligence
Subtitle of host publication	Foundations, Methods, and Applications
Pages	485-508
Number of pages	24
ISBN (Electronic)	9781000907872
DOIs	https://doi.org/10.1201/9781003283980-20
State	Published - 26 Jul 2023

Access to Document

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title = "Securing machine learning models: Notions and open issues",

author = "Lara Mauri and Ernesto Damiani",

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T1 - Securing machine learning models

T2 - Notions and open issues

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AU - Damiani, Ernesto

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