DeMistify: Identifying On-Device Machine Learning Models Stealing and Reuse Vulnerabilities in Mobile Apps

Mobile apps have become popular for providing artificial intelligence (AI) services via on-device machine learning (ML) techniques. Unlike accomplishing these AI services on remote servers traditionally, these on-device techniques process sensitive information required by AI services locally, which...

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Veröffentlicht in:	Proceedings / International Conference on Software Engineering S. 479 - 491
Hauptverfasser:	Ren, Pengcheng, Zuo, Chaoshun, Liu, Xiaofeng, Diao, Wenrui, Zhao, Qingchuan, Guo, Shanqing
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 14.04.2024
Schlagworte:	Analytical models Android App Biological system modeling Ecosystems Machine learning Mobile applications On-device Model Reuse Program Analysis Servers Task analysis
ISSN:	1558-1225
Online-Zugang:	Volltext
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