9 citations · 20 across the 8 of their papers we have counts for
8 papers · 1 filter
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…
Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity
Guang Yan, Yuhui Zhang, Zimu Guo +6
With the growing use of large language models (LLMs) hosted on cloud platforms to offer inference services, privacy concerns about the potential leakage of sensitive information ar…
Chameleon: An Efficient FHE Scheme Switching Acceleration on GPUs
Zhiwei Wang, Haoqi He, Lutan Zhao +4
Fully homomorphic encryption (FHE) enables direct computation on encrypted data, making it a crucial technology for privacy protection. However, FHE suffers from significant perfor…
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…