Jaiyoung Park

16 papers A* 3Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention.
CoRR
Younjoo Lee, Junghoo Lee, Seungkyun Dan, Jaiyoung Park, Jung Ho Ahn
2026 A* conf
IVE: An Accelerator for Single-Server Private Information Retrieval Using Versatile Processing Elements.
HPCA
Sangpyo Kim, Hyesung Ji, Jongmin Kim, Wonseok Choi, Jaiyoung Park, Jung Ho Ahn
2026 J jnl
Scaling up Privacy-Preserving ML: A CKKS Implementation of Llama-2-7B.
CoRR
Jaiyoung Park, Sejin Park, Jai Hyun Park, Jung Ho Ahn, Jung Hee Cheon, Guillaume Hanrot, Jung Woo Kim, Minje Park, Damien Stehlé
2025 J jnl
From Tokens to Layers: Redefining Stall-Free Scheduling for LLM Serving with Layered Prefill.
CoRR
Gunjun Lee, Jiwon Kim, Jaiyoung Park, Younjoo Lee, Jung Ho Ahn
2025 J jnl
IVE: An Accelerator for Single-Server Private Information Retrieval Using Versatile Processing Elements.
CoRR
Sangpyo Kim, Hyesung Ji, Jongmin Kim, Wonseok Choi, Jaiyoung Park, Jung Ho Ahn
2025 J jnl
Theodosian: A Deep Dive into Memory-Hierarchy-Centric FHE Acceleration.
CoRR
Wonseok Choi, Hyunah Yu, Jongmin Kim, Hyesung Ji, Jaiyoung Park, Jung Ho Ahn
2025 J jnl
Unlocking Private Computation at Scale: The Acceleration of Homomorphic Encryption.
Computer
Jaiyoung Park, Sangpyo Kim, Jongmin Kim, Jung Ho Ahn
2024 J jnl
HyPHEN: A Hybrid Packing Method and Its Optimizations for Homomorphic Encryption-Based Neural Networks.
IEEE Access
Donghwan Kim, Jaiyoung Park, Jongmin Kim, Sangpyo Kim, Jung Ho Ahn
2024 A* conf
NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and FHE Bootstrapping.
CCS
Jae Hyung Ju, Jaiyoung Park, Jongmin Kim, Minsik Kang, Donghwan Kim, Jung Hee Cheon, Jung Ho Ahn
2023 J jnl
HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks.
CoRR
Donghwan Kim, Jaiyoung Park, Jongmin Kim, Sangpyo Kim, Jung Ho Ahn
2023 J jnl
NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and Bootstrapping.
CoRR
Jae Hyung Ju, Jaiyoung Park, Jongmin Kim, Donghwan Kim, Jung Ho Ahn
2023 A* conf
SHARP: A Short-Word Hierarchical Accelerator for Robust and Practical Fully Homomorphic Encryption.
ISCA
Jongmin Kim, Sangpyo Kim, Jaewan Choi, Jaiyoung Park, Donghwan Kim, Jung Ho Ahn
2023 J jnl
Toward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption.
CoRR
Jaiyoung Park, Donghwan Kim, Jongmin Kim, Sangpyo Kim, Wonkyung Jung, Jung Hee Cheon, Jung Ho Ahn
2022 J jnl
AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference.
CoRR
Jaiyoung Park, Michael Jaemin Kim, Wonkyung Jung, Jung Ho Ahn
2020 — conf
Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs.
IISWC
Sangpyo Kim, Wonkyung Jung, Jaiyoung Park, Jung Ho Ahn
2020 J jnl
Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs.
CoRR
Sangpyo Kim, Wonkyung Jung, Jaiyoung Park, Jung Ho Ahn