Yichuan Liu1, Chungen Xu1,*, Lei Xu1, Lin Mei1, Xing Zhang2, Cong Zuo3
Journal of Information Hiding and Privacy Protection, Vol.3, No.4, pp. 151-164, 2021, DOI:10.32604/jihpp.2021.026944
Abstract The widespread acceptance of machine learning, particularly of neural
networks leads to great success in many areas, such as recommender systems,
medical predictions, and recognition. It is becoming possible for any individual
with a personal electronic device and Internet access to complete complex
machine learning tasks using cloud servers. However, it must be taken into
consideration that the data from clients may be exposed to cloud servers. Recent
work to preserve data confidentiality has allowed for the outsourcing of services
using homomorphic encryption schemes. But these architectures are based on
honest but curious cloud servers, which are unable to tell… More >
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