8 citations · 27 across the 16 of their papers we have counts for
16 papers
Towards Explainability in NLP: Analyzing and Calculating Word Saliency through Word Properties
Jialiang Dong, Zhitao Guan, Longfei Wu +2
The wide use of black-box models in natural language processing brings great challenges to the understanding of the decision basis, the trustworthiness of the prediction results, a…
A Practical Cross-Device Federated Learning Framework over 5G Networks
Wenti Yang, Naiyu Wang, Zhitao Guan +3
The concept of federated learning (FL) was first proposed by Google in 2016. Thereafter, FL has been widely studied for the feasibility of application in various fields due to its…
When Energy Trading meets Blockchain in Electrical Power System: The State of the Art
Naiyu Wang, Xiao Zhou, Xin Lu +4
With the rapid growth of renewable energy resources, the energy trading began to shift from centralized to distributed manner. Blockchain, as a distributed public ledger technology…
Verification Code Recognition Based on Active and Deep Learning
Dongliang Xu, Bailing Wang, XiaoJiang Du +4
A verification code is an automated test method used to distinguish between humans and computers. Humans can easily identify verification codes, whereas machines cannot. With the d…
Achieving Secure and Efficient Cloud Search Services: Cross-Lingual Multi-Keyword Rank Search over Encrypted Cloud Data
Xueyan Liu, Zhitao Guan, Longfei Wu +2
Multi-user multi-keyword ranked search scheme in arbitrary language is a novel multi-keyword rank searchable encryption (MRSE) framework based on Paillier Cryptosystem with Thresho…
Achieving Data Utility-Privacy Tradeoff in Internet of Medical Things: A Machine Learning Approach
Zhitao Guan, Zefang Lv, Xiaojiang Du +2
The emergence and rapid development of the Internet of Medical Things (IoMT), an application of the Internet of Things into the medical and healthcare systems, have brought many ch…
A Low-latency Secure Data Outsourcing Scheme for Cloud-WSN
Jing Li, Zhitao Guan, Xiaojiang Du +2
With the support of cloud computing, large quantities of data collected from various WSN applications can be managed efficiently. However, maintaining data security and efficiency…
Secure Data Access for Wireless Body Sensor Networks
Zhitao Guan, Tingting Yang, Xiaojiang Du +1
Recently, with the support of mobile cloud computing, a large number of health related data collected from various body sensor networks can be managed efficiently. However, to ensu…
Protecting User Privacy Based on Secret Sharing with Error Tolerance for Big Data in Smart Grid
Zhitao Guan, Guanlin Si, Xiaojiang Du +1
In smart grid, large quantities of data is collected from various applications, such as smart metering substation state monitoring, electric energy data acquisition, and smart home…
ESAS: An Efficient Semantic and Authorized Search Scheme over Encrypted Outsourced Data
Xueyan Liu, Zhitao Guan, Xiaojiang Du +3
Nowadays, a large amount of user privacy-sensitive data is outsourced to the cloud server in ciphertext, which is provided by the data owners and can be accessed by authorized data…
An Efficient Encryption Scheme with Verifiable Outsourced Decryption in Mobile Cloud Computing
Jing Li, Zhitao Guan, Xiaojiang Du +2
With the increasing number of mobile applications and the popularity of cloud computing, the combination of these two techniques that named mobile cloud computing (MCC) attracts gr…
Towards Delay-Tolerant Flexible Data Access Control for Smart Grid with Renewable Energy Resources
Zhitao Guan, Jing Li, Liehuang Zhu +3
In the Smart Grid with Renewable Energy Resources (RERs), the Residential Units (RUs) with Distributed Energy Resources (DERs) are considered to be both power consumers and supplie…
Achieving Efficient and Secure Data Acquisition for Cloud-supported Internet of Things in Smart Grid
Zhitao Guan, Jing Li, Longfei Wu +3
Cloud-supported Internet of Things (Cloud-IoT) has been broadly deployed in smart grid systems. The IoT front-ends are responsible for data acquisition and status supervision, whil…
Privacy-preserving and Efficient Aggregation based on Blockchain for Power Grid Communications in Smart Communities
Zhitao Guan, Guanlin Si, Xiaosong Zhang +4
Intelligence is one of the most important aspects in the development of our future communities. Ranging from smart home, smart building, to smart city, all these smart infrastructu…
An Efficient Privacy-Preserving Algorithm based on Randomized Response in IoT-based Smart Grid
Hui Cao, Shubo Liu, Zhitao Guan +3
Among existing privacy-preserving approaches, Differential Privacy (DP) is a powerful tool that can provide privacy-preserving noisy query answers over statistical databases and ha…
Achieving Differential Privacy against Non-Intrusive Load Monitoring in Smart Grid: a Fog Computing approach
Hui Cao, Shubo Liu, Longfei Wu +2
Fog computing, a non-trivial extension of cloud computing to the edge of the network, has great advantage in providing services with a lower latency. In smart grid, the application…