activity
20152026
most citedGrouped Convolutional Neural Networks for Multivariate Time Series

31 citations · 46 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2026

Ringmaster: How to juggle high-throughput host OS system calls from TrustZone TEEs

Richard Habeeb, Man-Ki Yoon, Hao Chen +1

Many safety-critical systems require timely processing of sensor inputs to avoid potential safety hazards. Additionally, to support useful application features, such systems increa…

cs.CR2019★ 5 cited

TaskShuffler++: Real-Time Schedule Randomization for Reducing Worst-Case Vulnerability to Timing Inference Attacks

Man-Ki Yoon, Jung-Eun Kim, Richard Bradford +1

This paper presents a schedule randomization algorithm that reduces the vulnerability of real-time systems to timing inference attacks which attempt to learn the timing of task exe…

cs.LG2019

Novelty Detection via Network Saliency in Visual-based Deep Learning

Valerie Chen, Man-Ki Yoon, Zhong Shao

Machine-learning driven safety-critical autonomous systems, such as self-driving cars, must be able to detect situations where its trained model is not able to make a trustworthy p…

cs.CR2017★ 8 cited

A Reconnaissance Attack Mechanism for Fixed-Priority Real-Time Systems

Chien-Ying Chen, AmirEmad Ghassami, Sibin Mohan +4

In real-time embedded systems (RTS), failures due to security breaches can cause serious damage to the system, the environment and/or injury to humans. Therefore, it is very import…

cs.LG2017★ 31 cited

Grouped Convolutional Neural Networks for Multivariate Time Series

Subin Yi, Janghoon Ju, Man-Ki Yoon +1

Analyzing multivariate time series data is important for many applications such as automated control, fault diagnosis and anomaly detection. One of the key challenges is to learn l…

cs.CR2015★ 2 cited

Learning Execution Contexts from System Call Distributions for Intrusion Detection in Embedded Systems

Man-Ki Yoon, Sibin Mohan, Jaesik Choi +2

Existing techniques used for intrusion detection do not fully utilize the intrinsic properties of embedded systems. In this paper, we propose a lightweight method for detecting ano…