Jongmin Kim

Orcid: 0000-0003-2937-3073

Affiliations:
  • Seoul National University, Department of Electrical and Computer Engineering, South Korea


According to our database1, Jongmin Kim authored at least 21 papers between 2021 and 2026.

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Timeline

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Bibliography

2026
GPIR: Enabling Practical Private Information Retrieval with GPUs.
CoRR, April, 2026

Theodosian: A Deep Dive into Memory-Hierarchy-Centric FHE Acceleration.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2026

IVE: An Accelerator for Single-Server Private Information Retrieval Using Versatile Processing Elements.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

Cheddar: A Swift Fully Homomorphic Encryption Library Designed for GPU Architectures.
Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025
Unlocking Private Computation at Scale: The Acceleration of Homomorphic Encryption.
Computer, December, 2025

The New LLM Bottleneck: A Systems Perspective on Latent Attention and Mixture-of-Experts.
CoRR, July, 2025

Anaheim: Architecture and Algorithms for Processing Fully Homomorphic Encryption in Memory.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

SHIP: A Shallow and Highly Parallelizable CKKS Bootstrapping Algorithm.
Proceedings of the Advances in Cryptology - EUROCRYPT 2025, 2025

2024
Cheddar: A Swift Fully Homomorphic Encryption Library for CUDA GPUs.
CoRR, 2024

HyPHEN: A Hybrid Packing Method and Its Optimizations for Homomorphic Encryption-Based Neural Networks.
IEEE Access, 2024

CiFHER: A Chiplet-Based FHE Accelerator with a Resizable Structure.
Proceedings of the International Symposium on Secure and Private Execution Environment Design, 2024

Duplex: A Device for Large Language Models with Mixture of Experts, Grouped Query Attention, and Continuous Batching.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and FHE Bootstrapping.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and Bootstrapping.
CoRR, 2023

Toward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption.
CoRR, 2023

HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks.
CoRR, 2023

High-precision RNS-CKKS on fixed but smaller word-size architectures: theory and application.
Proceedings of the 11th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, 2023

SHARP: A Short-Word Hierarchical Accelerator for Robust and Practical Fully Homomorphic Encryption.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022
ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

BTS: an accelerator for bootstrappable fully homomorphic encryption.
Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

2021
Accelerating Fully Homomorphic Encryption Through Architecture-Centric Analysis and Optimization.
IEEE Access, 2021


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