About Me

[IISWC’26] Donghwan Kim, Prakhar Singh, Younghoon Min, Jongryool Kim, Jongse Park, Kiwan Maeng, “Characterizing How Complex Agentic AI Systems Handle General Tasks: A Trace-Based Simulation Study”, in IEEE International Symposium on Workload Characterization (IISWC), 2026. (Best Paper Award, Distinguished Artifact Award) paper github

[OSDI’26] Donghwan Kim, Xin Gu, Jinho Baek, Timothy Lo, Younghoon Min, Kwangsik Shin, Jongryool Kim, Jongse Park, Kiwan Maeng, “Cocoon: A System Architecture for Differentially Private Training with Correlated Noises”, in USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2026. paper video

[CAL’25] SeokHyeon Kong, Donghwan Kim, Euiseong Seo, Kiwan Maeng, “Characterizing the System Overhead of Discrete Noise Generation for Differential Privacy”, in IEEE Computer Architecture Letters (CAL), 2025. paper

[CCS’24] Jae Hyung Ju*, Jaiyoung Park*, Jongmin Kim, Minsik Kang, Donghwan Kim, Jung Hee Cheon, Jung Ho Ahn, “NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and FHE Bootstrapping”, in ACM SIGSAC Conference on Computer and Communications Security (CCS), 2024. (*equal contribution) paper

[Access’23] Donghwan Kim*, Jaiyoung Park*, Jongmin Kim, Sangpyo Kim, Jung Ho Ahn, “HyPHEN: A Hybrid Packing Method and Its Optimizations for Homomorphic Encryption-based Neural Networks”, in IEEE Access, 2023. (*equal contribution) paper

[DISCC’23] Jaiyoung Park, Donghwan Kim, Wonkyung Jung, Sangpyo Kim, Jongmin Kim, Jung Hee Cheon, Jung Ho Ahn, “Toward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption”, in Workshop on Data Integrity and Secure Cloud Computing (DISCC), 2023. paper

[ISCA’23] Jongmin Kim, Sangpyo Kim, Jaewan Choi, Jaiyoung Park, Donghwan Kim, Jung Ho Ahn, “SHARP: A Short-Word Hierarchical Accelerator for Robust and Practical Fully Homomorphic Encryption”, in International Symposium on Computer Architecture (ISCA), 2023. paper