Dynamic searchable symmetric encryption (DSSE) enables a server to
effic...
Large-scale language models have achieved tremendous success across vari...
Due to the emergence of graph neural networks (GNNs) and their widesprea...
The prosperity of decentralized finance motivates many investors to prof...
Graph neural networks (GNNs) have emerged as a series of competent graph...
In Machine Learning, the emergence of the right to be forgotten gave
bir...
Graph neural networks (GNNs) offer promising learning methods for
graph-...
Federated learning has recently emerged as a paradigm promising the bene...
Graph Neural Networks (GNNs) are widely adopted to analyse non-Euclidean...
The rapid growth of Decentralized Finance (DeFi) boosts the Ethereum
eco...
Federated Learning (FL) is an emerging decentralized artificial intellig...
Graph neural networks (GNNs) have been widely used to analyze the
graph-...
Flash Loan, as an emerging service in the decentralized finance ecosyste...
As the 5G communication networks are being widely deployed worldwide, bo...
The security of our data stores is underestimated in current practice, w...
Searchable encryption (SE) is one of the key enablers for building encry...
Network Function Virtualisation (NFV) advances the development of compos...
Outlier detection is widely used in practice to track the anomaly on
inc...
Transfer learning accelerates the development of new models (Student Mod...
In this paper, we propose GraphSE^2, an encrypted graph database for onl...