Ph.D. student @ Seoul National University
Computer Architecture | GPU Acceleration | Fully Homomorphic Encryption | Private Information Retrieval
Website | CV | Google Scholar | LinkedIn
I am a Ph.D. student in Electrical and Computer Engineering at Seoul National University, working in the SCALE Lab with Prof. Jung Ho Ahn.
My research focuses on GPU and architecture support for privacy-preserving computation, especially fully homomorphic encryption (FHE), private information retrieval (PIR), and high-performance libraries for secure computation.
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A Five-Year Journey to Accelerate Homomorphic Encryption with GPUs, Demonstrated by Sub-25ms CNN Inference | IEEE Micro, 2026
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Theodosian: A Deep Dive into Memory-Hierarchy-Centric FHE Acceleration | ISPASS 2026
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GPIR: Enabling Practical Private Information Retrieval with GPUs | ICS 2026
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IVE: An Accelerator for Single-Server Private Information Retrieval Using Versatile Processing Elements | HPCA 2026
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Cheddar: A Swift Fully Homomorphic Encryption Library for CUDA GPUs | ASPLOS 2026
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Anaheim: Architecture and Algorithms for Processing Fully Homomorphic Encryption in Memory | HPCA 2025
- GPU-Driven FHE: Real-Time Private AI Inference Outperforming Custom ASIC | NVIDIA GTC 2025, San Jose, CA
- Cheddar: a CUDA-based library for accelerating fully homomorphic encryption on GPUs.
