PVD-FL: A privacy-preserving and verifiable decentralized federated learning framework

J Zhao, H Zhu, F Wang, R Lu, Z Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Over the past years, the increasingly severe data island problem has spawned an emerging
distributed deep learning framework—federated learning, in which the global model can be …

Waldo: A private time-series database from function secret sharing

E Dauterman, M Rathee, RA Popa… - 2022 IEEE Symposium …, 2022 - ieeexplore.ieee.org
Applications today rely on cloud databases for storing and querying time-series data. While
outsourcing storage is convenient, this data is often sensitive, making data breaches a …

Toward privacy-preserving cybertwin-based spatiotemporal keyword query for ITS in 6G era

Y Guan, R Lu, Y Zheng, S Zhang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The sixth-generation (6G) communication technology has been attracting great interests
from both industry and academia, as it is regarded as a promising approach to achieve more …

SetRkNN: Efficient and privacy-preserving set reverse kNN query in cloud

Y Zheng, R Lu, H Zhu, S Zhang, Y Guan… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The advance of cloud computing has driven a new paradigm of outsourcing large-scale data
and data-driven services to public clouds. Due to the increased awareness of privacy …

Efficient and privacy-preserving spatial keyword similarity query over encrypted data

S Zhang, S Ray, R Lu, Y Guan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As a popular and practical query type in location-based services, the spatial keyword query
has been extensively studied in both academia and industry. Meanwhile, with the growing …

{TVA}: A multi-party computation system for secure and expressive time series analytics

M Faisal, J Zhang, J Liagouris, V Kalavri… - 32nd USENIX Security …, 2023 - usenix.org
We present TVA, a multi-party computation (MPC) system for secure analytics on secret-
shared time series data. TVA achieves strong security guarantees in the semi-honest and …

Towards practical and privacy-preserving multi-dimensional range query over cloud

Y Zheng, R Lu, Y Guan, J Shao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
It is undeniable that Internet of Things (IoT) in big data era can provide us with huge volumes
of multi-dimensional data, transforming our society into a much more intelligent one. In order …

Efficient and privacy-preserving similarity query with access control in eHealthcare

Y Zheng, R Lu, Y Guan, S Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Similarity queries, giving a way to disease diagnosis based on similar patients, have wide
applications in eHealthcare and are essentially demanded to be processed under fine …

SGBoost: An efficient and privacy-preserving vertical federated tree boosting framework

J Zhao, H Zhu, W Xu, F Wang, R Lu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Aiming at balancing data privacy and availability, Google introduces the concept of
federated learning, which can construct global machine learning models over multiple …

Toward privacy-preserving aggregate reverse skyline query with strong security

S Zhang, S Ray, R Lu, Y Guan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
It has been witnessed that Aggregate Reverse Skyline (ARS) query has recently received a
wide range of practical applications due to its marvelous property of identifying the influence …