Quo vadis artificial intelligence?
The study of artificial intelligence (AI) has been a continuous endeavor of scientists and
engineers for over 65 years. The simple contention is that human-created machines can do …
engineers for over 65 years. The simple contention is that human-created machines can do …
Machine Learning in Metaverse Security: Current Solutions and Future Challenges
The Metaverse, positioned as the next frontier of the Internet, has the ambition to forge a
virtual shared realm characterized by immersion, hyper-spatiotemporal dynamics, and self …
virtual shared realm characterized by immersion, hyper-spatiotemporal dynamics, and self …
Achieving privacy-preserving and verifiable support vector machine training in the cloud
With the proliferation of machine learning, the cloud server has been employed to collect
massive data and train machine learning models. Several privacy-preserving machine …
massive data and train machine learning models. Several privacy-preserving machine …
Blockchain-assisted public-key encryption with keyword search against keyword guessing attacks for cloud storage
Cloud storage enables users to outsource data to storage servers and retrieve target data
efficiently. Some of the outsourced data are very sensitive and should be prevented for any …
efficiently. Some of the outsourced data are very sensitive and should be prevented for any …
Blockchain-based transparent integrity auditing and encrypted deduplication for cloud storage
In this paper, we introduce a concept of transparent integrity auditing and propose a
concrete scheme based on the blockchain, which goes one step beyond existing public …
concrete scheme based on the blockchain, which goes one step beyond existing public …
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 …
language as it is spoken, and has been increasingly deployed in a growing number of …
A secure clinical diagnosis with privacy-preserving multiclass support vector machine in clouds
M Zhang, W Song, J Zhang - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
With the rapid growth of machine learning and artificial intelligence in medical cloud
systems, cloud-aided medical computing has materialized a concrete platform for rapid …
systems, cloud-aided medical computing has materialized a concrete platform for rapid …
Privacy-preserving multi-class support vector machine model on medical diagnosis
Y Chen, Q Mao, B Wang, P Duan… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
With the rapid development of machine learning in the medical cloud system, cloud-assisted
medical computing provides a concrete platform for remote rapid medical diagnosis …
medical computing provides a concrete platform for remote rapid medical diagnosis …
Lightweight privacy-preserving ensemble classification for face recognition
The development of machine learning technology and visual sensors is promoting the wider
applications of face recognition into our daily life. However, if the face features in the servers …
applications of face recognition into our daily life. However, if the face features in the servers …
An efficient and privacy-preserving outsourced support vector machine training for internet of medical things
As the use of machine learning in the Internet-of-Medical Things (IoMT) settings increases,
so do the data privacy concerns. Therefore, in this article, we propose an efficient privacy …
so do the data privacy concerns. Therefore, in this article, we propose an efficient privacy …