Protecting artificial intelligence IPs: a survey of watermarking and fingerprinting for machine learning

Protecting artificial intelligence IPs: a survey of watermarking and fingerprinting for machine learning

Abstract Artificial intelligence (AI) algorithms achieve outstanding results in many application domains such as computer vision and natural language processing. The performance of AI models is the outcome of complex and costly model architecture design and training processes. Hence, it is paramount...

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Bibliographic Details
Main Authors: Francesco Regazzoni, Paolo Palmieri, Fethulah Smailbegovic, Rosario Cammarota, Ilia Polian
Format: Article
Language:English
Published: Wiley 2021-06-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
fingerprint identification
industrial property
watermarking
data protection
deep learning (artificial intelligence)
Online Access:https://doi.org/10.1049/cit2.12029

Internet

https://doi.org/10.1049/cit2.12029

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