9 citations · 18 across the 7 of their papers we have counts for
7 papers
Synthesizing Probabilistic Saturating Counters with Differentially Private Formal Guarantees
Zhiming Chi, Lutan Zhao, Depeng Liu +8
Branch predictors improve instruction-level parallelism in modern processors and are commonly modeled using saturating counters. However, classical saturating counters are determin…
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…
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…
Defensive Design of Saturating Counters Based on Differential Privacy
Depeng Liu, Lutan Zhao, Pengfei Yang +4
The saturating counter is the basic module of the dynamic branch predictor, which involves the core technique to improve instruction level parallelism performance in modern process…
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…
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…
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…