Teaching Assistant Scholarship
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Teaching Assistant for Risk Management course.
Posts by Collection
awards
Special Scholarship for InfoSec Graduate Program
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Support for students in the Information Security graduate program.
Miscellaneous Scholarship
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Merit-based scholarship awarded to top-performing students.
BK21 National Graduate Research Fellowship
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Received every semester during Ph.D., excluding Fall 2022.
Junior Fellow Research Grant
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Funded a self-directed research project from Korea University.
patents
Comparison and Four Arithmetical Operations over Encrypted Data via Fully Homomorphic Encryption
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Application for performing comparisons and arithmetic on FHE-encrypted data.
Exponential Function Operation on Encrypted Data using Homomorphic Encryption
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Registered patent for exponential function computation on homomorphically encrypted data.
Logarithmic Operation on Encrypted Data using Homomorphic Encryption
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Registered patent for performing logarithmic operations on encrypted data via homomorphic techniques.
Privacy-Preserving Machine Learning Process
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Application for a privacy-preserving machine learning system.
Encrypted Data Analysis Using Kernel Trick
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Application for analyzing encrypted data via kernel methods.
Disease Diagnosis through Genetic Analysis via Homomorphic Encryption Scheme
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Application for disease diagnosis using encrypted genetic analysis.
Logistic Regression over Fully Homomorphic Encrypted Data
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Registered patent for performing logistic regression on FHE-encrypted data.
Secure Computation Device and Method for Encrypted Data Using FHE
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Registered patent on computing over data encrypted by fully homomorphic encryption.
Homomorphic Encryption-based Secure Data Computation Method
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Domestic patent for processing encrypted data using homomorphic techniques.
Location-Based Service Using Encrypted User Location Data
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Registered patent for providing location services on encrypted user data.
Device and Method for Generating Inverse Matrix of Encrypted Data using Inverse Matrix Technique
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Application covering inverse matrix generation for encrypted data.
Speed-up of Extracting Specific Elements from Ciphertext Based on Cyclotomic Polynomial Quotient Field
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Application for fast element extraction using canonical embedding in cyclotomic fields.
Efficient Communication Channel via Transciphering over FHE
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Transciphering-based approach that reduces key and ciphertext transmission overhead.
Efficient Homomorphic Data Compression and Decompression
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System to decide applying FHE for lower communication and computation costs.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
projects
Designing a Compiler for Machine Learning on Encrypted Data
Period: Sep 2017 – Dec 2020
General-purpose homomorphic encryption compiler for diverse ML algorithms.
Development of a National Statistical Analysis System Using Homomorphic Encryption Technology
Period: Apr 2021 – Dec 2023
Privacy-preserving statistical analysis on encrypted public data.
Hybridized Homomorphic Encryption: Bridging Polynomial and Nonlinear Evaluation
Period: Jun 2022 – Feb 2023
Cross-scheme techniques to boost performance of homomorphic encryption.
Development of New Technology for Data Privacy Enhancement on Edge Cloud Environment and Cultivating Next Generation Creative Talent
Period: Jul 2022 – Feb 2025
Lightweight homomorphic computation research for Private AI in edge-cloud settings.
Development of Foundational Homomorphic Encryption Technology for 6G Network Security
Period: Aug 2023 – Aug 2024
New FHE techniques for practical security in 6G network environments.
Development of Digital Asset Transaction Tracking Technology to Prevent Malicious Financial Conduct in the Digital Asset Market
Period: Jul 2024 – Present
CBDC traceability and auditing techniques for lawful digital asset ecosystems.
Research and Development of Post-Quantum Cryptography (PQC) for Space Cybersecurity
Period: Jun 2025 – Present
PQC-based key exchange and encryption optimized for satellite-ground data security.
Defense and Space Security Research Laboratory
Period: Oct 2025 – Present
Classified R&D project supported by KRIT focused on space cybersecurity.
publications
Logarithm Design on Encrypted Data with Bitwise Operation
Published in 19th International Conference on Information Security Applications (WISA), 2018
A bitwise approach to compute logarithms directly over encrypted data.
Recommended citation: J.S. Yoo, B.K. Song, J.W. Yoon. (2018). "Logarithm Design on Encrypted Data with Bitwise Operation." In Proceedings of the 19th International Conference on Information Security Applications (WISA).
A Bitwise Design and Implementation for Privacy-Preserving Data Mining: From Atomic Operations to Advanced Algorithms
Published in Security and Communication Networks, 2019
Comprehensive bitwise constructions enable efficient privacy-preserving data mining using FHE.
Recommended citation: B.K. Song, J.S. Yoo, M.Y. Hong, J.W. Yoon. (2019). "A Bitwise Design and Implementation for Privacy-Preserving Data Mining: From Atomic Operations to Advanced Algorithms." Security and Communication Networks.
A Bitwise Logistic Regression Using Binary Approximation and Real Number Division in Homomorphic Encryption Scheme
Published in 15th International Conference on Information Security Practice and Experience (ISPEC), 2019
Logistic regression executed via bitwise operations to support encrypted data analysis.
Recommended citation: J.S. Yoo, J.H. Hwang, B.K. Song, J.W. Yoon. (2019). "A Bitwise Logistic Regression Using Binary Approximation and Real Number Division in Homomorphic Encryption Scheme." In Proceedings of the 15th International Conference on Information Security Practice and Experience (ISPEC).
LWE와 완전동형암호에 대한 분석 및 동향
Published in Review of KIISC, 2020
An overview of lattice-based encryption and fully homomorphic encryption developments.
Recommended citation: J.S. Yoo, J.W. Yoon. (2020). "LWE와 완전동형암호에 대한 분석 및 동향." Review of KIISC.
t-BMPNet: Trainable Bitwise Multilayer Perceptron Neural Network over Fully Homomorphic Encryption Scheme
Published in Security and Communication Networks, 2021
This paper introduces t-BMPNet, a neural network designed for efficient evaluation in the encrypted domain.
Recommended citation: J.S. Yoo, J.W. Yoon. (2021). "t-BMPNet: Trainable Bitwise Multilayer Perceptron Neural Network over Fully Homomorphic Encryption Scheme." Security and Communication Networks.
Principal Component Analysis over the Boolean Circuit Within TFHE Scheme
Published in Proceedings of the International Conference on Information Security Applications (WISA), 2023
We implement PCA using boolean circuits under the TFHE homomorphic encryption framework.
Recommended citation: H.J. Doh, J.S. Yoo, M.Y. Hong, K.H. Lee, T.M. Ahn, J.W. Yoon. (2023). "Principal Component Analysis over the Boolean Circuit Within TFHE Scheme." In Proceedings of the International Conference on Information Security Applications (WISA).
Cheap and Fast Iterative Matrix Inverse in Encrypted Domain
Published in Proceedings of the European Symposium on Research in Computer Security (ESORICS), 2023
An iterative approach for computing matrix inverses efficiently over encrypted data.
Recommended citation: T.M. Ahn, K.H. Lee, J.S. Yoo, J.W. Yoon. (2023). "Cheap and Fast Iterative Matrix Inverse in Encrypted Domain." In Proceedings of the European Symposium on Research in Computer Security (ESORICS), Springer.
Secure Dimensionality Reduction: Applying Linear Discriminant Analysis over the TFHE Homomorphic Encryption Scheme
Published in Proceedings of the 14th International Conference on Information and Communication Technology Convergence (ICTC), 2023
A method for performing linear discriminant analysis securely using the TFHE scheme.
Recommended citation: G.W. Jeon, M.Y. Hong, J.S. Yoo, J.W. Yoon, B.K. Song. (2023). "Secure Dimensionality Reduction: Applying Linear Discriminant Analysis over the TFHE Homomorphic Encryption Scheme." In Proceedings of the 14th International Conference on Information and Communication Technology Convergence (ICTC).
Accelerating Secure Permutation: Application to Matrix Algebra
Published in IEEE Access, 2024
We present techniques to accelerate secure permutation operations with applications to encrypted matrix computations.
Recommended citation: J.W. Heo, J.S. Yoo, B.K. Song, J.W. Yoon. (2024). "Accelerating Secure Permutation: Application to Matrix Algebra." IEEE Access.
Fast Private Location-based Information Retrieval over the Torus
Published in Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2024
An efficient torus-FHE approach enabling privacy-preserving location-based searches.
Recommended citation: J.S. Yoo, M.Y. Hong, J.W. Heo, K.H. Lee, J.W. Yoon. (2024). "Fast Private Location-based Information Retrieval over the Torus." In Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
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Bidirectional Biometric Authentication Using Transciphering and (T)FHE
Published in Preprint (Submitted to Journal), 2024
This paper presents a lightweight biometric authentication protocol using TFHE-based transciphering to minimize ciphertext size and network overhead.
Recommended citation: J.S. Yoo, T.M. Ahn, J.W. Yoon. (2024). "Bidirectional Biometric Authentication Using Transciphering and (T)FHE." Preprint.
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Versatile and Fast Location-Based Private Information Retrieval with Fully Homomorphic Encryption over the Torus
Published in Preprint (Submitted to Journal), 2024
This manuscript introduces a flexible PIR scheme leveraging torus-based FHE to enable efficient location-based queries.
Recommended citation: J.S. Yoo, T.H. Kim, J.W. Yoon. (2024). "Versatile and Fast Location-Based Private Information Retrieval with Fully Homomorphic Encryption over the Torus." Preprint.
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Speed-up of Data Analysis with Kernel Trick in Encrypted Domain
Published in Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing (ACMSAC), 2025
An efficient method leveraging kernel tricks to accelerate encrypted data analysis.
Recommended citation: J.S. Yoo, B.K. Song, T.M. Ahn, J.W. Heo, J.W. Yoon. (2025). "Speed-up of Data Analysis with Kernel Trick in Encrypted Domain." In Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing (ACMSAC).
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Mathematical Programming (수학적프로그래밍)
Undergraduate course, Sungshin Women's University, School of Mathematics, Statistics and Data Science (수리통계데이터사이언스학과), 2023
Covered practical coding for linear algebra and basic machine learning (e.g., regression, SVM).
Introduction to Algorithms (과목16) Permalink
Undergraduate course, Korea University, Department of Cyber Defense (사이버국방학과), 2025
Taught algorithmic foundations including sorting, recursion, dynamic programming, and graph algorithms.