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 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Duplex: A Device for Large Language Models with Mixture of Experts, Grouped Query Attention, and Continuous Batching.
CoRR, 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

2023
High-precision RNS-CKKS on fixed but smaller word-size architectures: theory and application.
IACR Cryptol. ePrint Arch., 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

CiFHER: A Chiplet-Based FHE Accelerator with a Resizable Structure.
CoRR, 2023

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