This paper presents a comprehensive investigation into encrypted computa...
Homomorphic encryption (HE) has found extensive utilization in federated...
Ensuring the confidentiality and privacy of sensitive information in clo...
While homomorphic encryption (HE) has garnered significant research inte...
Federated Learning (FL) is a machine learning approach that allows multi...
Private set intersection (PSI) aims to allow users to find out the commo...
The order-preserving encryption (OPE) problem was initially formulated b...
Although homomorphic encryption can be incorporated into neural network
...
Privacy-preserving distributed machine learning has been recognized as o...
One of the biggest concerns for many applications in cloud computing lie...
While increasingly more application-specific blockchains, or ledgers, ar...
Various topological techniques and tools have been applied to neural net...
Homomorphic encryption (HE) offers data confidentiality by executing que...
The state-of-the-art techniques for processing cross-blockchain transact...
Edge computing draws a lot of recent research interests because of the
p...
In 2015, Eyal proposed the first game-theoretical model for analyzing th...
The cross-blockchain transaction (CBT) serves as a cornerstone for the
n...
The cross-blockchain transaction (CBT) serves as a cornerstone for the
n...
The cross-blockchain transaction remains one of the most challenging pro...
The interoperability across multiple or many blockchains would play a
cr...
Although recent advances of blockchain systems, notably in the form of
c...
The state-of-the-art for auditing and reproducing scientific application...
The state-of-the-art approach to manage blockchains is to process blocks...
Despite the popularity and practical applicability of blockchains, there...
The interoperability across multiple blockchains would play a critical r...
This position paper presents a synthesis viewpoint of blockchains from t...
Blockchain is an enabler of many emerging decentralized applications in ...