1.2k citations · 1.3k across the 12 of their papers we have counts for
10 papers · 1 filter
A Survey of Secure Computation Using Trusted Execution Environments
Xiaoguo Li, Bowen Zhao, Guomin Yang +3
As an essential technology underpinning trusted computing, the trusted execution environment (TEE) allows one to launch computation tasks on both on- and off-premises data while as…
STR: Secure Computation on Additive Shares Using the Share-Transform-Reveal Strategy
Zhihua Xia, Qi Gu, Wenhao Zhou +3
The rapid development of cloud computing has probably benefited each of us. However, the privacy risks brought by untrustworthy cloud servers arise the attention of more and more p…
Privacy-Preserving Image Retrieval Based on Additive Secret Sharing
Zhihua Xia, Qi Gu, Lizhi Xiong +2
The rapid growth of digital images motivates individuals and organizations to upload their images to the cloud server. To preserve privacy, image owners would prefer to encrypt the…
Efficient Privacy-Preserving Computation Based on Additive Secret Sharing
Lizhi Xiong, Wenhao Zhou, Zhihua Xia +2
The emergence of cloud computing provides a new computing paradigm for users -- massive and complex computing tasks can be outsourced to cloud servers. However, the privacy issues…
MSPPIR: Multi-source privacy-preserving image retrieval in cloud computing
Qi Gu, Zhihua Xia, Xingming Sun
Content-Based Image Retrieval (CBIR) techniques have been widely researched and in service with the help of cloud computing like Google Images. However, the images always contain r…
Privacy-preserving Medical Treatment System through Nondeterministic Finite Automata
Yang Yang, Robert H. Deng, Ximeng Liu +4
In this paper, we propose a privacy-preserving medical treatment system using nondeterministic finite automata (NFA), hereafter referred to as P-Med, designed for the remote medica…
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks
Hongwei Huang, Weiqi Luo, Guoqiang Zeng +3
Deep Learning (DL) techniques allow ones to train models from a dataset to solve tasks. DL has attracted much interest given its fancy performance and potential market value, while…
SecEL: Privacy-Preserving, Verifiable and Fault-Tolerant Edge Learning for Autonomous Vehicles
Jiasi Weng, Jian Weng, Yue Zhang +2
Mobile edge computing (MEC) is an emerging technology to transform the cloud-based computing services into the edge-based ones. Autonomous vehicular network (AVNET), as one of the…
On the (In)security of Bluetooth Low Energy One-Way Secure Connections Only Mode
Yue Zhang, Jian Weng, Rajib Dey +3
To defeat security threats such as man-in-the-middle (MITM) attacks, Bluetooth Low Energy (BLE) 4.2 and 5.x introduce the Secure Connections Only mode, under which a BLE device acc…
Onionchain: Towards Balancing Privacy and Traceability of Blockchain-Based Applications
Yue Zhang, Jian Weng, Jiasi Weng +2
With the popularity of Blockchain comes grave security-related concerns. Achieving privacy and traceability simultaneously remains an open question. Efforts have been made to addre…