About me
I am an Assistant Professor at the Department of Cyber Defense, Sejong University. I received my Ph.D. in Mathematical Sciences (specializing in Cryptography) from Seoul National University under the supervision of Prof. Jung Hee Cheon. Before joining Sejong University, I was an AI Fellow (AI Assistant Professor) at the Center for AI and Natural Science at Korea Institute of Advanced Study (KIAS).
My major research topics are fully homomorphic encryption (FHE) and its applications to private-preserving machine learning (PPML) and private AI.
News and Upcoming Events
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[Sep 2026] I joined Sejong University as an Assistant Professor.
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[Aug 2026] Our paper “Fast Batch Bootstrapping in CKKS” was accepted to ASIACRYPT 2026.
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[Aug 2026] Our paper “Fast Batch Matrix Multiplication in Ciphertexts” [CKL26a] was presented at CRYPTO 2026.
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[Jul 2026] Our paper “New IND-CPA-D Attacks on BFV and BGV” [CKS26] was accepted to ACM CCS 2026.
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[Jun 2026] I served as an organizer for the PACOH workshop and presented an FHE tutorial.
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[Jun 2026] I presented our work “Towards Lightweight CKKS: On Client Cost Efficiency” [CKP26] at ACM AsiaCCS 2026.
Selected Publications
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[CKL26b] “Fast Batch Bootstrapping in CKKS”
Jung Hee Cheon, Minsik Kang, Junho Lee
ASIACRYPT 2026, to appear -
[CKS26] “New IND-CPA-D Attacks on BFV and BGV”
Hyeongmin Choe, Minsik Kang, Damien Stehlé
ACM CCS 2026, to appear -
[CKL26a] “Fast Batch Matrix Multiplication in Ciphertexts”
Jung Hee Cheon, Minsik Kang, Junho Lee
CRYPTO 2026 -
[CCK+25] “Grafting: Decoupled Scale Factors and Modulus in RNS-CKKS”
Jung Hee Cheon, Hyeongmin Choe, Minsik Kang, Jaehyung Kim, Seonghak Kim, Johannes Mono, Taeyeong Noh
ACM CCS 2025 -
[JPK+24] “NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and FHE Bootstrapping”
Jae Hyung Ju*, Jaiyoung Park*, Jongmin Kim, Minsik Kang, Donghwan Kim, Jung Hee Cheon, Jung Ho Ahn
ACM CCS 2024