activity
20202023
most citedSoK: Hardware Defenses Against Speculative Execution Attacks

13 citations · 23 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.CR2023

Random and Safe Cache Architecture to Defeat Cache Timing Attacks

Guangyuan Hu, Ruby B. Lee

Caches have been exploited to leak secret information due to the different times they take to handle memory accesses. Cache timing attacks include non-speculative cache side and co…

cs.CR2023★ 2 cited

Protecting Cache States Against Both Speculative Execution Attacks and Side-channel Attacks

Guangyuan Hu, Ruby B. Lee

Hardware caches are essential performance optimization features in modern processors to reduce the effective memory access time. Unfortunately, they are also the prime targets for…

cs.CR2023★ 13 cited

SoK: Hardware Defenses Against Speculative Execution Attacks

Guangyuan Hu, Zecheng He, Ruby Lee

Speculative execution attacks leverage the speculative and out-of-order execution features in modern computer processors to access secret data or execute code that should not be ex…

cs.CR2021

CloudShield: Real-time Anomaly Detection in the Cloud

Zecheng He, Ruby B. Lee

In cloud computing, it is desirable if suspicious activities can be detected by automatic anomaly detection systems. Although anomaly detection has been investigated in the past, i…

cs.CR2021★ 1 cited

Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support

Guangyuan Hu, Zecheng He, Ruby B. Lee

Impostors are attackers who take over a smartphone and gain access to the legitimate user's confidential and private information. This paper proposes a defense-in-depth mechanism t…

cs.CR2020★ 4 cited

New Models for Understanding and Reasoning about Speculative Execution Attacks

Zecheng He, Guangyuan Hu, Ruby Lee

Spectre and Meltdown attacks and their variants exploit hardware performance optimization features to cause security breaches. Secret information is accessed and leaked through cov…

cs.CR2020★ 3 cited

Smartphone Impostor Detection with Built-in Sensors and Deep Learning

Guangyuan Hu, Zecheng He, Ruby Lee

In this paper, we show that sensor-based impostor detection with deep learning can achieve excellent impostor detection accuracy at lower hardware cost compared to past work on sen…