most citedA Survey of Secure Computation Using Trusted Execution Environments

8 citations · 8 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CR2024

OPAF: Optimized Secure Two-Party Computation Protocols for Nonlinear Activation Functions in Recurrent Neural Network

Qian Feng, Zhihua Xia, Zhifeng Xu +2

Deep neural network (DNN) typically involves convolutions, pooling, and activation function. Due to the growing concern about privacy, privacy-preserving DNN becomes a hot research…

cs.CV20241 cited

Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales

Shuren Qi, Yushu Zhang, Chao Wang +3

Developing robust and interpretable vision systems is a crucial step towards trustworthy artificial intelligence. In this regard, a promising paradigm considers embedding task-requ…

cs.LG20234 cited

Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems

Shiying Zhang, Jun Li, Long Shi +5

Intelligent transportation systems (ITSs) have been fueled by the rapid development of communication technologies, sensor technologies, and the Internet of Things (IoT). Nonetheles…

cs.CR20238 cited

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…

cs.CY2023

Enhancing Deep Knowledge Tracing with Auxiliary Tasks

Zitao Liu, Qiongqiong Liu, Jiahao Chen +4

Knowledge tracing (KT) is the problem of predicting students' future performance based on their historical interactions with intelligent tutoring systems. Recent studies have appli…