Bootstrapping Bits with CKKS [Bootstrapping]
Youngjin Bae, Jung Hee Cheon, Jaehyung Kim, Damien Stehlé | Eurocrypt 2024
Fast and Accurate Homomorphic Softmax Evaluation [Homomorphic Algorithms]
Wonhee Cho, Guillaume Hanrot, Taeseong Kim, Minje Park, Damien Stehlé | CCS 2024
Plaintext-Ciphertext Matrix Multiplication and FHE Bootstrapping: Fast and Fused [Homomorphic Algorithms]
Youngjin Bae, Jung Hee Cheon, Guillaume Hanrot, Jai Hyun Park, Damien Stehlé | Crypto 2024
NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and Bootstrapping [Applications]
Jae Hyung Ju, Jaiyoung Park, Jongmin Kim, Minsik Kang, Donghwan Kim, Jung Hee Cheon, Jung Ho Ahn | CCS 2024
Attacks Against the INDCPA-D Security of Exact FHE Schemes [IND-CPA^D Security]
Jung Hee Cheon, Hyeongmin Choe, Alain Passelègue, Damien Stehlé, Elias Suvanto | CCS 2024
Fully Homomorphic Training and Inference on Binary Decision Tree and Random Forest [Applications]
Hojune Shin, Jina Choi, Dain Lee, Kyoungok Kim, Younho Lee | ESORICS 2024
HEIR: A Unified Representation for Cross-Scheme Compilation of Fully Homomorphic Computation [Compiler]
Song Bian, Zian Zhao, Zhou Zhang, Ran Mao, Kohei Suenaga, Yier Jin, Zhenyu Guan, Jianwei Liu | NDSS 2024
Approximate Methods for the Computation of Step Functions in Homomorphic Encryption [Homomorphic Algorithms]
Tairong Huang, Shihe Ma, Anyu Wang, XiaoYun Wang | ACISP 2024
ModHE: Modular Homomorphic Encryption Using Module Lattices: Potentials and Limitations [Variants]
Anisha Mukherjee, Aikata Aikata, Ahmet Can Mert, Yongwoo Lee, Sunmin Kwon, Maxim Deryabin, Sujoy Sinha Roy | CHES 2024
HEProfiler: An In-Depth Profiler of Approximate Homomorphic Encryption Libraries [Analysis]
Jonathan Takeshita, Nirajan Koirala, Colin McKechney, Taeho Jung | JoCE 2024
Homomorphic Multiple Precision Multiplication for CKKS and Reduced Modulus Consumption [Core]
Jung Hee Cheon, Wonhee Cho, Jaehyung Kim, Damien Stehlé | CCS 2023
HERMES: Efficient Ring Packing using MLWE Ciphertexts and Application to Transciphering [Transciphering]
Youngjin Bae, Jung Hee Cheon, Jaehyung Kim, Jai Hyun Park, Damien Stehlé | Crypto 2023
High-precision RNS-CKKS on fixed but smaller word-size architectures: theory and application [Hardware]
Rashmi Agrawal, Jung Ho Ahn, Flavio Bergamaschi, Ro Cammarota, Jung Hee Cheon, Fillipe D. M. de Souza, Huijing Gong, Minsik Kang, Duhyeong Kim, Jongmin Kim, Hubert de Lassus, Jai Hyun Park, Michael Steiner, Wen Wang | WAHC 2023
On the precision loss in approximate homomorphic encryption [Analysis]
Anamaria Costache, Benjamin R. Curtis, Erin Hales, Sean Murphy, Tabitha Ogilvie, Rachel Player | SAC 2023
Collaborative Privacy-Preserving Analysis of Oncological Data using Multiparty Homomorphic Encryption [Applications]
Ravit Geva, Alexander Gusev, Yuriy Polyakov, Lior Liram, Oded Rosolio, Andreea Alexandru, Nicholas Genise, Marcelo Blatt, Zohar Duchin, Barliz Waissengrin, Dan Mirelman, Felix Bukstein, Deborah T. Blumenthal, Ido Wolf, Sharon Pelles-Avraham, Tali Schaffer, Lee A. Lavi, Daniele Micciancio, Vinod Vaikuntanathan, Ahmad Al Badawi, Shafi Goldwasser | PNAS 2023
Medha: Microcoded Hardware Accelerator for computing on Encrypted Data [Hardware]
Ahmet Can Mert, Aikata, Sunmin Kwon, Youngsam Shin, Donghoon Yoo, Yongwoo Lee, Sujoy Sinha Roy | CHES 2023
Asymptotically Faster Multi-Key Homomorphic Encryption from Homomorphic Gadget Decomposition [Multi-Key HE]
Taechan Kim, Hyesun Kwak, Dongwon Lee, Jinyeong Seo, Yongsoo Song | CCS 2023
Optimizing HE operations via Level-aware Key-switching Framework [Efficiency]
Intak Hwang, Jinyeong Seo, Yongsoo Song | WAHC 2023
Accelerating HE Operations from Key Decomposition Technique [Efficiency]
Miran Kim, Dongwon Lee, Jinyeong Seo, Yongsoo Song | Crypto 2023
High-Throughput Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Channel- By-Channel Packing [Applications]
Jung Hee Cheon, Minsik Kang, Taeseong Kim, Junyoung Jung, Yongdong Yeo | TDSC 2023
BLEACH: Cleaning Errors in Discrete Computations over CKKS [Comparison]
Nir Drucker, Guy Moshkowich, Tomer Pelleg, Hayim Shaul | JoC 2023
Rubato: Noisy Ciphers for Approximate Homomorphic Encryption [Transciphering]
Jincheol Ha, Seongkwang Kim, Byeonghak Lee, Jooyoung Lee, and Mincheol Son | Eurocrypt 2022
META-BTS: Bootstrapping Precision Beyond the Limit [Bootstrapping]
Youngjin Bae, Jung Hee Cheon, Wonhee Cho, Jaehyung Kim, Taekyung Kim | CCS 2022
Bootstrapping for Approximate Homomorphic Encryption with Negligible Failure-Probability by Using Sparse-Secret Encapsulation [Bootstrapping]
Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux | ACNS 2022
Efficient Homomorphic Evaluation on Large Intervals [Homomorphic Algorithms]
Jung Hee Cheon, Wootae Kim, Jai Hyun Park | TIFS 2022
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions [Applications]
Eunsang Lee, Joon-Woo Lee, Junghyun Lee, Young-Sik Kim, Yongjune Kim, Jong-Seon No, Woosuk ChoiI | CML 2022
EvalRound Algorithm in CKKS Bootstrapping [Bootstrapping]
Seonghak Kim, Minji Park, Jaehyung Kim, Taekyung Kim, Chohong Min | Asiacrypt 2022
Securing Approximate Homomorphic Encryption Using Differential Privacy [IND-CPA^D Security]
Baiyu Li, Daniele Micciancio, Mark Schultz, Jessica Sorrell | Crypto 2022
When HEAAN Meets FV: a New Somewhat Homomorphic Encryption with Reduced Memory Overhead [Variants]
Hao Chen, Ilia Iliashenko, Kim Laine | IMACC 2022
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network [Applications]
Joon-Woo Lee, HyungChul Kang, Yongwoo Lee, Woosuk Choi, Jieun Eom, Maxim Deryabin, Eunsang Lee, Junghyun Lee, Donghoon Yoo, Young-Sik Kim, Jong-Seon No | IEEE Access 2022
Optimization of Homomorphic Comparison Algorithm on RNS-CKKS Scheme [Comparison]
Eunsang Lee, Joon-Woo Lee, Young-Sik Kim, Jong-Seon No | IEEE Access 2022
Efficient Bootstrapping for Approximate Homomorphic Encryption with Non-Sparse Keys [Bootstrapping]
Jean-Philippe Bossuat, Christian Mouchet, Juan Troncoso-Pastoriza, Jean-Pierre Hubaux | Eurocrypt 2021
PEGASUS: Bridging Polynomial and Non-polynomial Evaluations in Homomorphic Encryption [Transciphering]
Wen-jie Lu, Zhicong Huang, Cheng Hong, Yiping Ma, Hunter Qu | S&P 2021
Minimax Approximation of Sign Function by Composite Polynomial for Homomorphic Comparison [Comparison]
Eunsang Lee, Joon-Woo Lee, Jong-Seon No, Young-Sik Kim | TDSC 2021
High-Precision Bootstrapping of RNS-CKKS Homomorphic Encryption Using Optimal Minimax Polynomial Approximation and Inverse Sine Function [Bootstrapping]
Joon-Woo Lee, Eunsang Lee, Yongwoo Lee, Young-Sik Kim, Jong-Seon No | Eurocrypt 2021
EVA Improved: Compiler and Extension Library for CKKS [Compiler]
Sangeeta Chowdhary, Wei Dai, Kim Laine, Olli Saarikivi | WAHC 2021
Over 100x Faster Bootstrapping in Fully Homomorphic Encryption through Memory-centric Optimization with GPUs [Hardware]
Wonkyung Jung, Sangpyo Kim, Jung Ho Ahn, Jung Hee Cheon, Younho Lee | CHES 2021Hardware
On the Security of Homomorphic Encryption on Approximate Numbers [IND-CPA^D Security]
Baiyu Li, Daniele Micciancio | Eurocrypt 2021
Transciphering Framework for Approximate Homomorphic Encryption [Transciphering]
Jihoon Cho, Jincheol Ha, Seongkwang Kim, Byeonghak Lee, Joohee Lee, Jooyoung Lee, Dukjae Moon, Hyojin Yoon | Asiacrypt 2021
Efficient Sorting of Homomorphic Encrypted Data with k-way Sorting Network [Homomorphic Algorithms]
Seungwan Hong, Seunghong Kim, Jiheon Choi, Younho Lee, Jung Hee Cheon | TIFS 2021
Better Bootstrapping for Approximate Homomorphic Encryption [Bootstrapping]
Kyoohyung Han, Dohyeong Ki | CT-RSA 2020
Efficient Homomorphic Comparison Methods with Optimal Complexity [Comparison]
Jung Hee Cheon, Dongwoo Kim, Duhyeong Kim | Asiacrypt 2020
A Low-Depth Homomorphic Circuit for Logistic Regression Model Training [Applications]
Eric Crockett | WAHC 2020
Improved privacy-preserving training using fixed-Hessian minimisation [Applications]
Tabitha Ogilvie, Rachel Player, Joe Rowell | WAHC 2020
Sine Series Approximation of the Mod Function for Bootstrapping of Approximate HE [Bootstrapping]
Charanjit Singh Jutla, Nathan Manohar | Eurocrypt 2020
High-Precision Bootstrapping for Approximate Homomorphic Encryption by Error Variance Minimization [Bootstrapping]
Yongwoo Lee, Joon-Woo Lee, Young-Sik Kim, Yongjune Kim, Jong-Seon No, HyungChul Kang | Eurocrypt 2020
Privacy-preserving Approximate GWAS computation based on Homomorphic Encryption [Applications]
Duhyeong Kim, Yongha Son, Dongwoo Kim, Andrey Kim, Seungwan Hong, Jung Hee Cheon | BMC Medical Genomics 2020
Semi-parallel Logistic Regression for GWAS on Encrypted Data [Applications]
Miran Kim, Yongsoo Song, Baiyu Li, Daniele Micciancio | BMC Medical Genomics 2020
Privacy-preserving semi-parallel logistic regression training with Fully Homomorphic Encryption [Applications]
Sergiu Carpov, Nicolas Gama, Mariya Georgieva, Juan Ramon Troncoso-Pastoriza | BMC Genomics 2020
Near-optimal Polynomial for Modulus Reduction Using L2-norm for Approximate Homomorphic Encryption [Bootstrapping]
Yongwoo Lee, Joonwoo Lee, Young-Sik Kim, Jong-Seon No | IEEE Access 2020
Remark on the Security of CKKS Scheme in Practice [IND-CPA^D Security]
Jung Hee Cheon, Seungwan Hong, Duhyeong Kim | Technical Report 2020
Towards a Practical Cluster Analysis over Encrypted Data [Applications]
Jung Hee Cheon, Duhyeong Kim, Jai Hyun Park | SAC 2019
Numerical Method for Comparison on Homomorphically Encrypted Numbers [Comparison]
Jung Hee Cheon, Dongwoo Kim, Duhyeong Kim, Hun Hee Lee, Keewoo Lee | Asiacrypt 2019
CHIMERA: Combining Ring-LWE-based Fully Homomorphic Encryption Schemes [Transciphering]
Christina Boura, Nicolas Gama, Mariya Georgieva, Dimitar Jetchev | NutMic 2019
Faster Homomorphic Discrete Fourier Transforms and Improved FHE Bootstrapping [Bootstrapping]
Jung Hee Cheon, Kyoohyung Han, Minki Hhan | IEEE Access 2019
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data [Applications]
Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski | WAHC 2019
Efficient Logistic Regression on Large Encrypted Data [Applications]
Kyoohyung Han, Seungwan Hong, Jung Hee Cheon, Daejun Park | IAAI 2019
Homomorphic Training of 30,000 Logistic Regression Models [Applications]
Flavio Bergamaschi, Shai Halevi, Tzipora T. Halevi, Hamish Hunt | ACNS 2019
Improved Bootstrapping for Approximate Homomorphic Encryption [Bootstrapping]
Hao Chen, Ilaria Chillotti, Yongsoo Song | Eurocrypt 2019
Efficient Multi-Key Homomorphic Encryption with Packed Ciphertexts with Application to Oblivious Neural Network Inference [Multi-Key HE]
Hao Chen, Wei Dai, Miran Kim, Yongsoo Song | CCS 2019
Optimized Homomorphic Encryption Solution for Secure Genome-Wide Association Studies [Applications]
Marcelo Blatt, Alexander Gusev, Yuriy Polyakov, Kurt Rohloff, Vinod Vaikuntanathan | BMC Medical Genomics 2019
Bootstrapping for Approximate Homomorphic Encryption [Bootstrapping]
Jung Hee Cheon, Kyoohyung Han, Andrey Kim, Miran Kim, Yongsoo Song | Eurocrypt 2018
A Full RNS Variant of Approximate Homomorphic Encryption [Core]
Jung Hee Cheon, Kyoohyung Han, Andrey Kim, Miran Kim, Yongsoo Song | SAC 2018
Secure Outsourced Matrix Computation and Application to Neural Networks [Homomorphic Algorithms]
Xiaoqian Jiang, Miran Kim, Kristin Lauter, Yongsoo Song | CCS 2018
Approximate Homomorphic Encryption over the Conjugate-invariant Ring [Variants]
Duhyeong Kim, Yongsoo Song | ICISC 2018
Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation [Applications]
Miran Kim, Yongsoo Song, Shuang Wang, Yuhou Xia, Xiaoqian Jiang | JMIR Medical Informatics 2018
Logistic Regression Model Training based on the Approximate Homomorphic Encryption [Applications]
Andrey Kim, Yongsoo Song, Miran Kim, Keewoo Lee, Jung Hee Cheon | BMC Medical Genomics 2018
Homomorphic Encryption for Arithmetic of Approximate Numbers [Core]
Jung Hee Cheon, Andrey Kim, Miran Kim, Yongsoo Song | Asiacrypt 2017