Matryoshka : Exploiting the Over-Parametrization of Deep Learning Models for Covert Data Transmission

High-quality private machine learning (ML) data stored in local data centers becomes a key competitive factor for AI corporations. In this paper, we present a novel insider attack called Matryoshka to reveal the possibility of breaking the privacy of ML data even with no exposed interface. Our attac...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2024) vom: 26. Juli
Auteur principal:	Pan, Xudong (Auteur)
Autres auteurs:	Zhang, Mi, Yan, Yifan, Zhang, Shengyao, Yang, Min
Format:	Article en ligne
Langue:	English
Publié:	2024
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article