SecureNLP: A System for Multi-Party Privacy-Preserving Natural Language Processing

Natural language processing (NLP) allows a computer program to understand human language as it is spoken, and has been increasingly deployed in a growing number of applications, such as machine translation, sentiment analysis, and electronic voice assistant. While information obtained from different...

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Veröffentlicht in:	IEEE transactions on information forensics and security Jg. 15; S. 3709 - 3721
Hauptverfasser:	Feng, Qi, He, Debiao, Liu, Zhe, Wang, Huaqun, Choo, Kim-Kwang Raymond
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Computational modeling Cryptography Data mining Data privacy Linear functions Logic gates long short-term memory Machine translation Model accuracy Natural language processing Privacy Protocol (computers) Protocols Recurrent neural networks Secure multi-party computation seq2seq with attention Task analysis
ISSN:	1556-6013, 1556-6021
Online-Zugang:	Volltext
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