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20192026
most citedEnabling Privacy-Preserving, Compute- and Data-Intensive Computing using Heterogeneous Trusted Execution Environment

9 citations · 18 across the 7 of their papers we have counts for

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Showing cs.CRShow all

6 papers · 1 filter

cs.CR2026

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…

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

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…

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…