6th HomomorphicEncryption.org Standards Meeting

Date: March 23-24, 2023
Location: Seoul National University, Seoul, South Korea.


During the Working Group session, we will be conducting a tutorial session for beginners in HE. This will be presented in Korean. The tutorial will cover the fundamentals of HE, showcase real-world applications, and include a demonstration of relevant software.


Based on the success of our previous standards meetings, and the founding of the HomomorphicEncryption.org group, we are pleased to announce the 6th HomomorphicEncryption.org Workshop. The workshop is targeted at application developers, security practitioners, and homomorphic encryption experts. Along with technical standards discussions, the program also includes sessions on software tools for developing and benchmarking homomorphic encryption solutions, hardware acceleration approaches, and industry applications of homomorphic encryption. The workshop is also a great place for PhD students to meet representatives from industry and academia. 

This will be the first time that the meeting takes place in an Asian venue, with a clear target to strengthen the engagement with standardization bodies and raise awareness among end-users and potential adopters of homomorphic encryption. 

Please note that the workshop will take place in-person. If you would like to contribute to, or suggest, other topics in the agenda, please, let us know.

Thanks in advance. We are looking forward to seeing you in Seoul!

Important dates

Date: March 23rd-24th, 2023
Poster submission deadline: March 3rd(closed)
Notification of acceptance: March 6th(closed)
Registration deadline: Mar 10th(closed)


Please use the following Google Form.

Organizing Committee

Jung Hee Cheon (SNU/CryptoLab, jhcheon@snu.ac.kr)
Jihoon Cho (Samsung SDS, jihoon1.cho@samsung.com)

Local Organizing Committee

Jeongdae Hong (IMDARC, hes2023oc@gmail.com)
Hyojin Yoon (Samsung SDS, hes2023oc@gmail.com)


The meeting will be divided into two days, and the agenda will be updated in detail. We are working on the agenda, and will be adding a few more talks soon.

March 22nd

Organizing committee meeting (offline)

March 23rd

09:30-09:50Opening Ceremony
10:00-10:50Keynote speech
Sun Never Sets on Intel Privacy Research, Rosario Cammarota (Intel)
11:00-12:20FHE accelerations
HECATE: Performance-Aware Scale Optimization for Homomorphic Encryption Compiler, Hanjun Kim (Yonsei University)
The TREBUCHET Homomorphic Encryption Computing Co-Processor and Benchmarking FHE Acceleration using OpenFHE, Kurt R. Rohloff (Duality)
BTS and ARK: Accelerators for Bootstrappable Fully Homomorphic Encryption, Jung Ho Ahn (Seoul National Unversity)
BASALISC: A Programmable Asynchronous Hardware Accelerator for BGV and CKKS Fully Homomorphic Encryption, David Archer (Galois)
13:30-14:50FHE Libraries & Compliers
FHE Compilers and Intermediate Representations, Shruthi Gorantala, Jeremy Kun, and Miguel Guevara (Google)
A tour of HEaaN.math, Taekyung Kim (CryptoLab)
An update on the Concrete Framework, Ilaria Chillotti and Damien Ligier (Zama)
Update on OpenFHE, Yuriy Polyakov (Duality)
15:05-15:45FHE Standard
Standardizations in ITU-T, Jihoon Cho (Samsung SDS)
A NIST call for threshold-friendly and quantum-resistant fully homomorphic encryption schemes, Luis Brandao (NIST/Strativia)
16:00-17:45Working Group discussions*
/ Tutorial for HE beginners (in Korean)
*1. Theory & Security / 2. Libraries & Benchmarks / 3. HE Accelerators & Compilers / 4. Applications / 5. Regulations & Standards

March 24th

08:30-09:20Registration & Networking breakfast
09:20-09:30Opening Remarks
Anonymous Homomorphic Encryption, Sang-Won LEE (Seoul National University)
PETs on the rise: Legal perspectives and global policy support, Katharina Koerner (IAPP)
FHE(PII), Aloni Cohen (University of Chicago) (online talk)
10:30-11:00Panel discussion
11:10-12:30Applications and Requirements I
HE meets Manufacturing, Brian Anthony(MIT) (online talk)
Application of homomorphic encryption in predicting postoperative mortality using multi-institutional data, Sang-Wook Lee and Jungyo Suh (Asan Medical Center)
Squirrel: A Scalable Secure Computation Framework for Training Gradient Boosting Decision Tree, Cheng Hong (Ant Group)
HEaaN.stat: Encrypted Statistics using HEaaN, Junbum Shin and Younggi Lee (CryptoLab)
-Lightening talks(13:30~14:30)
15:00-16:40Applications and Requirements II
Taking Homomorphic Encryption from the Lab into Practice, Carsten Maple (Alan Turing Institute, University of Warwick)
Use cases for FHE / MPC in hybrid privacy preserving machine learning workflows, Mariya Georgieva Belorgey and Dimitar Jetchev (Inpher)
HELayers: design, optimize, and deploy, Nir Drucker (IBM)
Homomorphic Encryption Acceleration in SmartSSD, Jiyoup Kim (Samsung Electronics)
Sharing without sharing: Enabling data collaborations with MHE, Juan Ramon Troncoso-Pastoriza (Tune Insight) (online talk)
16:55-18:00Working Group Summary & Wrap up

List of accepted posters

  • HLG: A Framework For Computing Graphs In RNS And Its Application In FHE, Shuang Wu, ChunhuanZhao, Ye Yuan, ShuzhouSun, JieLi, YaminLiu (Huawei)
  • Verifiable Fully Homomorphic Encryption, Christian Knabenhans, Alexander Viand, Anwar Hithnawi (ETH zurich, PPS)
  • COMPOSITE SCALING : A TECHNIQUE TO REALIZE VARIABLE PRECISION IN CKKS, Rosario Cammarota, Jung Hee Cheon, Junyoung Jung, Tae Seong Kim, Keewoo Lee, Jai Hyun Park (Seoul National University, Intel labs)
  • Tensor Networks: A Naturally Polynomial Path to Secure Inference on Homomorphically Encrypted Data, Laura Ball (The Alan Turing Insitute)
  • HE for Multiple Parties(2), Yongsoo Song(Seoul National University)
  • Key Reduction of Deep Neural Networks on Fully Homomorphic Encryption in the Client-Server Systems, Joon-Woo Lee, Eunsang Lee, Young-Sik Kim, Jong-Seon No (Chung-Ang University, Sejong University, Chosun University, Seoul National University)
  • High-Precision Bootstrapping for Approximate Homomorphic Encryption by Error Variance Minimization, Yongwoo Lee, Joon-Woo Lee, Young-Sik Kim, Yongjune Kim, Jong-Seon No, and HyungChul Kang (Inha University, Chung-Ang University, Chosun University, Postech, Seoul National University, Samsung Advanced Institute of Technology)
  • E2E near-standard hybrid encryption, Ehud Aharoni, Nir Drucker, Gilad Ezov, Eyal Kushnir, Hayim Shaul, Omri Soceanu (IBM Research)
  • Practical Multi-Key Homomorphic Encryption for Efficient Secure Federated Average Aggregation, A. Pedrouzo-Ulloa A. Boudguiga O. Chakraborty R. Sirdey O. Stan M. Zuber (atlanTTIC, Universida de Vigo, cea list)
  • Low Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions, Eunsang Lee, Joon Woo Lee, Junghyun Lee, Young Sik Kim, Yongjune Kim, Jong Seon No, Woosuk Choi (Sejong University, Chung Ang University, Seoul National University, Chosun University, POSTECH, Samsung Advanced Institute of Technology)
  • FPT: a Fixed-Point Accelerator for Torus Fully Homomorphic Encryption, Michiel Van Beirendonck, Jan-Pieter D’Anvers, and Ingrid Verbauwhede (COSIC KU Leuven)
  • FFT-less TFHE: Faster, Simpler, and Scale-invariant, Zhen Gu (Alibaba Damo Academy)
  • Field Instruction Multiple Data, Khin Mi Mi Aung, Enhui Lim, Jun Jie Sim, Benjamin Hong Meng Tan (Institute for Infocomm Research, Agency for Science, Technology and Research)
  • TFHE Functional bootstrapping over multiple inputs, Pierre-Emmanuel Clet, Aymen Boudguiga, Renaud Sirdey (cea list)
  • On Polynomial Functions Modulo pe and Faster Bootstrapping for Homomorphic Encryption, Robin Geelen, Ilia Iliashenko, Jiayi Kang, Frederik Vercauteren (imec-COSIC, ESAT, KU Leuven, CipherMode Labs)
  • Location-Based Service (LBS) with Homomorphic Encryption, Mina Sohn, Jaejin Lee, Sungchul Shin (CryptoLab Inc.)
  • Private Data Aggregation and Clustering for Analysing Ciber Threat Intelligence Data, J.J. Sustronk, M.H. Everts, M. Huisman, J. de Jong, G. Spini, T.M.M. Laarhoven (University of Twente, TNO, Linksight)
  • HEaaN.stat : Homomorphic Data Analysis tool with HEaaN, Younggi Lee, Song Hyeop Park, Jung Woo Kim, Junbum Shin (CryptoLab Inc.)


Sangsan Mathematical Science Building (Building #129), Seoul National University, Seoul in South Korea. (google map)

Seoul National University (src: SNU Media Gallery) and Sangsan Mathematical Science Building


Subway (Line 2)+ Bus(# 5513)/Taxi

(Subway) Line 2, Station: Seoul National University
Use Station gate #3 of the station (FAR from main gate of the campus)

(Bus) #5513 : it will stop next to the building (stop : Nong-Saeng-Dae).


The hotels have easy access to subway line 2 ;

From Incheon Airport

Bus – Bus # 6003 (Main gate of SNU), #6017 (Hoam Faculty House)

To other places, railroad/subway can be better options.