4 citations · 7 across the 9 of their papers we have counts for
10 papers
Encrypted collision avoidance maneuver via variational optimization
Yeongjun Jang, Jihoon Suh, Kenshiro Oguri +1
We propose an encrypted collision avoidance maneuver (CAM) design protocol using homomorphic encryption (HE) that enables operators to outsource CAM design to an untrusted server w…
Experimental Examination of Secure Two-Party Controller Computation
Kaoru Teranishi, Jihoon Suh, Takashi Tanaka
A secure two-party computation protocol for running dynamic controllers over secret sharing has recently been proposed. Unlike encrypted control schemes based on homomorphic encryp…
Variational Encrypted Model Predictive Control
Jihoon Suh, Yeongjun Jang, Junsoo Kim +1
We develop a variational encrypted model predictive control (VEMPC) protocol whose online execution relies only on encrypted polynomial operations. The proposed approach reformulat…
Privacy-Preserving Fully Distributed Gaussian Process Regression
Yeongjun Jang, Kaoru Teranishi, Jihoon Suh +1
Although distributed Gaussian process regression (GPR) enables multiple agents to jointly learn a model of the target function, its collaborative nature poses a risk of private dat…
Relative Entropy Regularized Reinforcement Learning for Efficient Encrypted Policy Synthesis
Jihoon Suh, Yeongjun Jang, Kaoru Teranishi +1
We propose an efficient encrypted policy synthesis to develop privacy-preserving model-based reinforcement learning. We first demonstrate that the relative-entropy-regularized rein…
Efficient Implementation of Reinforcement Learning over Homomorphic Encryption
Jihoon Suh, Takashi Tanaka
We investigate encrypted control policy synthesis over the cloud. While encrypted control implementations have been studied previously, we focus on the less explored paradigm of pr…
Encrypted Computation of Collision Probability for Secure Satellite Conjunction Analysis
Jihoon Suh, Michael Hibbard, Kaoru Teranishi +3
The computation of collision probability () is crucial for space environmentalism and sustainability by providing decision-making knowledge that can prevent collisio…
Encrypted Price-based Market Mechanism for Optimal Load Frequency Control
Jihoon Suh, Takashi Tanaka
The global trend of energy deregulation has led to the market mechanism replacing some functionality of load frequency control (LFC). Accordingly, information exchange among partic…
Encrypted Value Iteration and Temporal Difference Learning over Leveled Homomorphic Encryption
Jihoon Suh, Takashi Tanaka
We consider an architecture of confidential cloud-based control synthesis based on Homomorphic Encryption (HE). Our study is motivated by the recent surge of data-driven control su…
SARSA(0) Reinforcement Learning over Fully Homomorphic Encryption
Jihoon Suh, Takashi Tanaka
We consider a cloud-based control architecture in which the local plants outsource the control synthesis task to the cloud. In particular, we consider a cloud-based reinforcement l…