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2020 – today
- 2024
[j3]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. IEEE Access 12: 3024-3038 (2024)- 2023
- [c5]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. ISCA 2023: 18:1-18:15 - [i8]Donghwan Kim, Jaiyoung Park, Jongmin Kim, Sangpyo Kim, Jung Ho Ahn:
HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks. CoRR abs/2302.02407 (2023) - [i7]Sangpyo Kim, Jongmin Kim, Jaeyoung Choi, Jung Ho Ahn:
CiFHER: A Chiplet-Based FHE Accelerator with a Resizable Structure. CoRR abs/2308.04890 (2023) - [i6]Jaiyoung Park, Donghwan Kim, Jongmin Kim, Sangpyo Kim, Wonkyung Jung, Jung Hee Cheon, Jung Ho Ahn:
Toward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption. CoRR abs/2310.16530 (2023) - 2022
- [c4]Sangpyo Kim, Jongmin Kim, Michael Jaemin Kim, Wonkyung Jung, John Kim, Minsoo Rhu, Jung Ho Ahn:
BTS: an accelerator for bootstrappable fully homomorphic encryption. ISCA 2022: 711-725 - [c3]Jongmin Kim, Gwangho Lee, Sangpyo Kim, Gina Sohn, Minsoo Rhu, John Kim, Jung Ho Ahn:
ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse. MICRO 2022: 1237-1254 - [i5]Jongmin Kim, Gwangho Lee, Sangpyo Kim, Gina Sohn, John Kim, Minsoo Rhu, Jung Ho Ahn:
ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse. CoRR abs/2205.00922 (2022) - 2021
- [j2]Wonkyung Jung, Eojin Lee, Sangpyo Kim, Jongmin Kim, Namhoon Kim, Keewoo Lee, Chohong Min, Jung Hee Cheon, Jung Ho Ahn:
Accelerating Fully Homomorphic Encryption Through Architecture-Centric Analysis and Optimization. IEEE Access 9: 98772-98789 (2021) - [j1]Wonkyung Jung, Sangpyo Kim, Jung Ho Ahn, Jung Hee Cheon, Younho Lee:
Over 100x Faster Bootstrapping in Fully Homomorphic Encryption through Memory-centric Optimization with GPUs. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2021(4): 114-148 (2021) - [c2]Wonkyung Jung, Eojin Lee, Sangpyo Kim, Namhoon Kim, Keewoo Lee, Chohong Min, Jung Hee Cheon, Jung Ho Ahn:
Accelerating Fully Homomorphic Encryption Through Microarchitecture-Aware Analysis and Optimization. ISPASS 2021: 237-239 - [i4]Sangpyo Kim, Jongmin Kim, Michael Jaemin Kim, Wonkyung Jung, Minsoo Rhu, John Kim, Jung Ho Ahn:
BTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption. CoRR abs/2112.15479 (2021) - [i3]Wonkyung Jung, Sangpyo Kim, Jung Ho Ahn, Jung Hee Cheon, Younho Lee:
Over 100x Faster Bootstrapping in Fully Homomorphic Encryption through Memory-centric Optimization with GPUs. IACR Cryptol. ePrint Arch. 2021: 508 (2021) - 2020
- [c1]Sangpyo Kim, Wonkyung Jung, Jaiyoung Park, Jung Ho Ahn:
Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs. IISWC 2020: 264-275 - [i2]Wonkyung Jung, Eojin Lee, Sangpyo Kim, Keewoo Lee, Namhoon Kim, Chohong Min, Jung Hee Cheon, Jung Ho Ahn:
HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through Architecture-centric Analysis and Optimization. CoRR abs/2003.04510 (2020) - [i1]Sangpyo Kim, Wonkyung Jung, Jaiyoung Park, Jung Ho Ahn:
Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs. CoRR abs/2012.01968 (2020)
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