QoS Prediction and Adversarial Attack Protection for Distributed Services Under DLaaS

Deep-Learning-as-a-service (DLaaS) has received increasing attention due to its novelty as a diagram for deploying deep learning techniques. However, DLaaS faces performance and security issues that urgently need to be addressed. Given the limited computation resources and concern of benefits, Quali...

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Veröffentlicht in:	IEEE transactions on computers Jg. 73; H. 3; S. 669 - 682
Hauptverfasser:	Liang, Wei, Li, Yuhui, Xu, Jianlong, Qin, Zheng, Zhang, Dafang, Li, Kuan-Ching
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.03.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adversarial attacks Computational modeling Deep learning dlaas graph neural network Internet of Things Neural networks Performance evaluation Predictive models probability forecast qos prediction Quality of service Recommender systems Security Uncertainty
ISSN:	0018-9340, 1557-9956
Online-Zugang:	Volltext
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