SWIFT: Shallow and SIMD-Aware CKKS Functional Bootstrapping for Low-Latency
A shallow and SIMD-aware CKKS functional bootstrapping method designed for low-latency encrypted computation.
jung-hee-cheon
About Me
I am a Ph.D. student in Mathematical Sciences at Seoul National University,
advised by Prof. Jung Hee Cheon.
My research focuses on cryptography, particularly homomorphic encryption,
lattice-based cryptography, and privacy-preserving computation.
Education
Integrated M.S./Ph.D. Program in Mathematical Sciences
2024-09-01
Seoul National University
B.S. in Mathematical Sciences
2019-03-01
2024-08-31
Seoul National University
Interests
Homomorphic Encryption
CKKS
Lattice-Based Cryptography
Privacy-Preserving Computation
Research
I work on cryptography, with a focus on homomorphic encryption and
privacy-preserving computation. My current interests include the CKKS
scheme, lattice-based cryptography, and efficient encrypted computation
for machine learning workloads.
Featured Publications
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1 min read
Private Embedding Lookup with Encrypted Compact Queries under Fully Homomorphic Encryption
A private embedding lookup method using encrypted compact queries and Independent Vector Evaluation under fully homomorphic encryption.
jung-hee-cheon
Cryptanalysis on Lightweight Verifiable Homomorphic Encryption
Cryptanalysis of lightweight verifiable homomorphic encryption schemes, including REP, PE, and vADDG-style constructions.
jung-hee-cheon
Publications