activity
20192022
most citedEnabling Privacy-Preserving, Compute- and Data-Intensive Computing using Heterogeneous Trusted Execution Environment

9 citations · 26 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AR2022★ 2 cited

TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU

Shengyu Fan, Zhiwei Wang, Weizhi Xu +3

In this paper, we propose TensorFHE, an FHE acceleration solution based on GPGPU for real applications on encrypted data. TensorFHE utilizes Tensor Core Units (TCUs) to boost the c…

cs.CR2022★ 1 cited

Remapped Cache Layout: Thwarting Cache-Based Side-Channel Attacks with a Hardware Defense

Wei Song, Rui Hou, Peng Liu +6

As cache-based side-channel attacks become serious security problems, various defenses have been proposed and deployed in both software and hardware. Consequently, cache-based side…

cs.CR2022★ 1 cited

Attack detection based on machine learning algorithms for different variants of Spectre attacks and different Meltdown attack implementations

Zhongkai Tong, Ziyuan Zhu, Yusha Zhang +2

To improve the overall performance of processors, computer architects use various performance optimization techniques in modern processors, such as speculative execution, branch pr…

cs.CR2020

PiPoMonitor: Mitigating Cross-core Cache Attacks Using the Auto-Cuckoo Filter

Fengkai Yuan, Kai Wang, Rui Hou +6

Cache side channel attacks obtain victim cache line access footprint to infer security-critical information. Among them, cross-core attacks exploiting the shared last level cache a…

cs.CR2020★ 6 cited

A Lightweight Isolation Mechanism for Secure Branch Predictors

Lutan Zhao, Peinan Li, Rui Hou +5

Recently exposed vulnerabilities reveal the necessity to improve the security of branch predictors. Branch predictors record history about the execution of different programs, and…

cs.CR2019★ 9 cited

Enabling Privacy-Preserving, Compute- and Data-Intensive Computing using Heterogeneous Trusted Execution Environment

Jianping Zhu, Rui Hou, XiaoFeng Wang +9

There is an urgent demand for privacy-preserving techniques capable of supporting compute and data intensive (CDI) computing in the era of big data. However, none of existing TEEs…