Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs. - Sangpyo Kim; Wonkyung Jung; Jaiyoung Park; Jung Ho Ahn (IISWC, 2020)

HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through Architecture-centric Analysis and Optimization. - Wonkyung Jung; Eojin Lee; Sangpyo Kim; Keewoo Lee; Namhoon Kim; Chohong Min; Jung Hee Cheon; Jung Ho Ahn (CoRR, 2020)

Accelerating Fully Homomorphic Encryption Through Microarchitecture-Aware Analysis and Optimization. - Wonkyung Jung; Eojin Lee; Sangpyo Kim; Namhoon Kim; Keewoo Lee; Chohong Min; Jung Hee Cheon; Jung Ho Ahn (ISPASS, 2021)

Accelerating Fully Homomorphic Encryption Through Architecture-Centric Analysis and Optimization. - Wonkyung Jung; Eojin Lee; Sangpyo Kim; Jongmin Kim 007; Namhoon Kim; Keewoo Lee; Chohong Min; Jung Hee Cheon; Jung Ho Ahn (IEEE Access, 2021)

Over 100x Faster Bootstrapping in Fully Homomorphic Encryption through Memory-centric Optimization with GPUs. - Wonkyung Jung; Sangpyo Kim; Jung Ho Ahn; Jung Hee Cheon; Younho Lee (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2021)

BTS: an accelerator for bootstrappable fully homomorphic encryption. - Sangpyo Kim; Jongmin Kim 007; Michael Jaemin Kim; Wonkyung Jung; John Kim 001; Minsoo Rhu; Jung Ho Ahn (ISCA, 2022)

ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse. - Jongmin Kim 007; Gwangho Lee; Sangpyo Kim; Gina Sohn; Minsoo Rhu; John Kim 001; Jung Ho Ahn (MICRO, 2022)

SHARP: A Short-Word Hierarchical Accelerator for Robust and Practical Fully Homomorphic Encryption. - Jongmin Kim 007; Sangpyo Kim; Jaewan Choi; Jaiyoung Park; Donghwan Kim; Jung Ho Ahn (ISCA, 2023)

HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks. - Donghwan Kim; Jaiyoung Park; Jongmin Kim 007; Sangpyo Kim; Jung Ho Ahn (CoRR, 2023)

Toward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption. - Jaiyoung Park; Donghwan Kim; Jongmin Kim 007; Sangpyo Kim; Wonkyung Jung; Jung Hee Cheon; Jung Ho Ahn (CoRR, 2023)

CiFHER: A Chiplet-Based FHE Accelerator with a Resizable Structure. - Sangpyo Kim; Jongmin Kim 007; Jaeyoung Choi; Jung Ho Ahn (SEED, 2024)

HyPHEN: A Hybrid Packing Method and Its Optimizations for Homomorphic Encryption-Based Neural Networks. - Donghwan Kim; Jaiyoung Park; Jongmin Kim 007; Sangpyo Kim; Jung Ho Ahn (IEEE Access, 2024)

Accelerating Programmable Bootstrapping Targeting Contemporary GPU Microarchitecture. - Hyesung Ji; Sangpyo Kim; Jaewan Choi; Jung Ho Ahn (IEEE Comput. Archit. Lett., 2024)

Anaheim: Architecture and Algorithms for Processing Fully Homomorphic Encryption in Memory. - Jongmin Kim 007; Sungmin Yun 001; Hyesung Ji; Wonseok Choi 015; Sangpyo Kim; Jung Ho Ahn (HPCA, 2025)

The New LLM Bottleneck: A Systems Perspective on Latent Attention and Mixture-of-Experts. - Sungmin Yun 001; Seonyong Park; Hwayong Nam; Younjoo Lee; Gunjun Lee; Kwanhee Kyung; Sangpyo Kim; Nam Sung Kim; Jongmin Kim 007; Hyungyo Kim; Juhwan Cho; Seungmin Baek; et al. (CoRR, 2025)