CREST [Society 5.0 System Software]

Anonymous healthcare cohort with the guarantee of data privacy and utility

Publications

Journal

S.Ito, K. Ikegami, and H. Kikuchi, "Disease risk analysis using anonymously processed information of health diagnosis data and medical receipt data" ,Information Processing Society of Japan Journal, 2021, Vol.62, No.9, pp.1560-1574.[Japanese]
Tran Thi Phuong, Le Trieu Phong, "Distributed Differentially-Private Learning with Communication Efficiency", Journal of Systems Architecture, 2022.
T. T. Phuong and L. T. Phong, “Decentralized Stochastic Optimization With Random Attendance” , IEEE Signal Processing Letters, vol. 29, pp. 1322-1326, 2022, doi: 10.1109/LSP.2022.3179331.
Phong LT (2022), "Secure deep learning for distributed data against maliciouscentral server" . PLOS ONE 17(8): e0272423. https://doi.org/10.1371/journal.pone.0272423
Le Trieu Phong, Tran Thi Phuong, "Differentially private stochastic gradient descent via compression and memorization", Journal of Systems Architecture, Volume 135, 2023, 102819, ISSN 1383-7621, https://doi.org/10.1016/j.sysarc.2022.102819
Sachiko KANAMORI, Hirotsune SATO, Naoya TABATA, Ryo NOJIMA, " Construction of a Support Tool for Japanese User Reading of Privacy Policies and Assessment of its User Impact", IEICE TRANSACTIONS on Information and Systems Vol.E106-D,No.5, 10.1587/transinf.2022DAP0002
Tran Thi Phuong, Le Trieu Phong, Kazuhide Fukushima, "Distributed Stochastic Gradient Descent With Compressed and Skipped Communication", IEEE Access 11: 99836-99846 (2023),10.1109/ACCESS.2023.3315331.
Itaru Kaneko, Le Trieu Phong, Keita Emura, Emi Yuda, " Can Sleep Apnea Be Detected from Human Pulse Waveform with Laplace Noise?", J. Adv. Comput. Intell. Intell. Informatics 27(5): 942-947 (2023), 10.20965/jaciii.2023.p0942
Le Trieu Phong, Tran Thi Phuong, Lihua Wang, Seiichi Ozawa, "Frameworks for Privacy-Preserving Federated Learning", IEICE Transactions, Vol.E107-D,No.1, 2024.
Takao Murakami, Hiromi Arai, Koki Hamada, Takuma Hatano, Makoto Iguchi, Hiroaki Kikuchi, Atsushi Kuromasa, Hiroshi Nakagawa, Yuichi Nakamura, Kenshiro Nishiyama, Ryo Nojima, Hidenobu Oguri, Chiemi Watanabe, Akira Yamada, Takayasu Yamaguchi, Yuji Yamaoka, "Designing a Location Trace Anonymization Contest. ", Proc. Priv. Enhancing Technol. 2023(1): 225-243 (2023).
Hernandez-Matamoros, A.; Kikuchi, H., "Comparative Analysis of Local Differential Privacy Schemes in Healthcare Datasets", Appl. Sci. 2024, 14, 7, pp.1-23, 2864. 2024.
Atsushi Waseda, Ryo Nojima, and Lihua Wang, "A Differentially Private (Random) Decision Tree without Noise from k-Anonymity", MDP/28 I Journal of Applied Sciences 2024, 14(17), 7625 2024.
Horigome, H., Kikuchi, H., Fujita, M., Yu, C.-M., "Robust Estimation Method against Poisoning Attacks for Key-Value Data with Local Differential Privacy", Applied Sciences, 14 (14), pp.1-19, 6368, MDPI, 2024.

International Conference

Sachiko Kanamori, Hirotsune Sato, Naoya Tabata and Ryo Nojima, "Construction of a Support Tool for User Reading of Privacy Policies and Assessment of its User Impact" , In Proceedings of the 8th International Conference on Information Systems Security and Privacy - ICISSP, 412-419, 2022.
Horigome, H., Kikuchi, H. (2022). "Improvement of Estimate Distribution with Local Differential Privacy" , In: Torra, V., Narukawa, Y. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2022. Lecture Notes in Computer Science(), vol 13408. Springer, Cham.
Kikuchi, H., Ono, A., Ito, S., Fujita, M., Yamanaka, T. (2022). "Web Crawler for an Anonymously Processed Information Database" In: Barolli, L., Yim, K., Chen, HC. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2021. Lecture Notes in Networks and Systems, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-79728-7_51.
Fujita, M. et al. (2022). Proposal and Development of Anonymization Dictionary Using Public Information Disclosed by Anonymously Processed Information Handling Business Operators In: Barolli, L., Yim, K., Chen, HC. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2021. Lecture Notes in Networks and Systems, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-79728-7_4.
H. Kikuchi, S. Ito, K. Ikegami and S. Shindo, "Diseases Prediction from Officially Anonymized Medical and Healthcare Big Data" 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 1-11, doi: 10.1109/BigData55660.2022.10075547
H. Kikuchi, S. Miyoshi, T. Mori and A. Hernandez-Matamoros, "A Vulnerability in Video Anonymization – Privacy Disclosure from Face-obfuscated video," 2022 19th Annual International Conference on Privacy, Security & Trust (PST), Fredericton, NB, Canada, 2022, pp. 1-10, doi: 10.1109/PST55820.2022.9851976.
Horigome, H., Kikuchi, H., Yu, CM. (2023). "Expectation-Maximization Estimation for Key-Value Data Randomized with Local Differential Privacy," In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2023. Lecture Notes in Networks and Systems, vol 654. Springer, Cham. https://doi.org/10.1007/978-3-031-28451-9_44.
Yusuke Shimizu, Tetsushi Ohki, and Yusuke Yamamoto. 2022. "Privacy-aware Snippets: Enhancing Assessment of Balance between Privacy Risks and Benefits in Web Search," In Proceedings of the 2022 ACM Conference on Information Technology for Social Good (GoodIT '22). Association for Computing Machinery, New York, NY, USA, 24–31. https://doi.org/10.1145/3524458.3547231.
Le Trieu Phong, Tran Thi Phuong "Differentially-Private Distributed Machine Learning with Partial Worker Attendance: A Flexible and Efficient Approach",Proceedings of the International Conference CITA 2023, Lecture Notes in Networks and Systems (LNNS, volume 734)
Ryo Nojima, Lihua Wang "Differential Private (Random) Decision Tree Without Adding Noise",ICONIP (9) 2023, Vol. CCIS 1963, pp.162-174
Sachiko Kanamori, Miho Ikeda, Kumiko Kameishi, Ayako A. Hasegawa, “User Comprehension of Technical Terms in Privacy Policies and Expectations of the Privacy Protection Law in Japan”, Nineteenth Symposium on Usable Privacy and Security（SOUPS2023）
Andres Hernandez-Matamoros, Hiroaki Kikuchi "An Efficient Local Differential Privacy Scheme Using Bayesian Ridge Regression",2023 20th Annual International Conference on Privacy, Security and Trust (PST)
Andres Hernandez-Matamoros, Hiroaki Kikuchi "New LDP Approach Using VAE",Network and System Security, NSS 2023, Lecture Notes in Computer Science, vol. 13983, Springer, pp.177-191, 2023
Hikaru Horigome, Hiroaki Kikuchi and Chia-Mu Yu "Local Differential Privacy Protocol for Making Key–Value Data Robust Against Poisoning Attacks",In: Torra, V., Narukawa, Y. (eds) Modeling Decisions for Artificial Intelligence”, MDAI 2023. Lecture Notes in Computer Science(), vol 13890. Springer, pp. 241-252, 2023.
Hiroaki Kikuchi, "Privacy-Preserving Clustering for Multi-Dimensional Data Randomization under LDP", IFIP SEC 2023
Kajima, D., Kikuchi, H, "Failure of Privacy Policy for Session Replay Services Used for Monitor Your Keystroke"In: Barolli, L. (eds) Advances in Networked-based Information Systems”, NBiS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 183. Springer, pp.123-129, 2023.
Toma, Kikuchi, "Multiple Person Tracking based on Gait Identification using Kinect and OpenPose", The 8th International Conference on Mobile, Secure and Programmable Networking (MSPN　2023), Springer, LNCS, 2023.
Roberto Espinoza Chamorro*, Chang Liu, Kazumasa Kishimoto, Goshiro Yamamoto, Yukiko Mori, Luciano Santos, Tomohiro Kuroda, "Adjusting Twitter Data As a Source for Blood Donation Analysis: BDT-UC Dataset and BERT Implementations", 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology
K. Fukuyama, Y. Mori, T. Kuroda and H. Kikuchi, "Cancer Risk Evaluation with Diabetes Mellitus by a Large Medical Claims Dataset",Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS), IEEE, pp. 1-7, 2024.
Toma, R., Kikuchi, H. "Combinations of AI Models and XAI Metrics Vulnerable to Record Reconstruction Risk",In: Domingo-Ferrer, J., Önen, M. (eds) Privacy in Statistical Databases. PSD 2024. Lecture Notes in Computer Science, vol 14915. Springer, Cham, 2024.
Hernandez-Matamoros, A., Kikuchi, H.,"Secure Aggregation of Smartwatch Health Data with LDP",In: Al-kfairy, M., Aldwairi, M., Raymond Choo, KK., Tubishat, M., Alrabaee, S., Alfandi, O. (eds) Security and Privacy in Social Networks and Big Data. SocialSec 2024. Lecture Notes in Computer Science, vol 15565. Springer, 2024.
Yaguchi and Kikuchi,"Fine-Grained Data Poisoning Attack to Local Differential Privacy Protocols for Key-Value Data",Computer Security – ESORICS 2025. ESORICS 2025, Lecture Notes in Computer Science, vol 16053, pp. 450-468, Springer, Cham. 2025.
H. Kikuchi,"A Pseudo-Inverse Matrix-Based LDP for High-Dimensional Data",DPM 2025, In Computer Security. ESORICS 2025 International Workshops: DPM, CBT, LNCS, Springer, 2025.
Kikuchi, H., Moriya, R., Kitahara, T., Fukuda,"Honey-Proxy: Revealing Malicious Activities via Residential Proxies",In: Barolli, L. (eds) Advanced Information Networking and Applications, AINA 2025, Lecture Notes on Data Engineering and Communications Technologies, vol 249, pp.1-12, Springer, Cham, 2025.
H. Kikuchi,"Impact Assessment of Adversary-in-the-Middle Attack Evilginx Bypassing 2FA",In: Daimi, K., Alsadoon, A. (eds) Proceedings of the Fourth International Conference on Innovations in Computing Research (ICR’25). ICR 25 2025. Lecture Notes in Networks and Systems, vol 1487, pp. 149-158, Springer, Cham, 2025.
K. Miura, H. Kikuchi,"No anonymity in metaverse: VR user identification based on DTW distance of head-and-arms motions",Proceedings of the 20th Asia Joint Conference on Information Security, pp.1-11, 2025.
Toma, R., Kikuchi, H.,"Empirical Evaluation of Record Reconstruction Risk from Model Explanations with Differential Privacy",New Frontiers in Artificial Intelligence. JSAI-isAI 2025, Lecture Notes in Computer Science, vol 15692, pp. 255-367, Springer, Singapore, 2025.
Sachiko Kanamori, Hirotsune Sato, Naoya Tabata,"Do Japanese FemTech Users Consent without Reading Privacy Policies？ Reasons for Use and Privacy Concerns of FemTech",12th International Conference on Information Systems Security and Privacy (ICISSP2026), Volume 1, pages 118-126, 2025.
Ono Hajime, Tran Thi Phuong, Le Trieu Phong,"DP-FedELM: Differentially Private Federated Extreme Learning Machine",The 39th International Conference on Advanced Information Networking and Applications, (AINA-2025), Lecture Notes on Data Engineering and Communications Technologies, vol 247, pp 117–128, Springer, 2025.
Tran Thi Phuong, Le Trieu Phong,"Communication Strategies for Faster Decentralized Optimization",The 19-th International Conference on Complex, Intelligent, and Software Intensive Systems 2025 (CISIS-2025), LNDECT 260, pp. 305–316, 2025.
Le Trieu Phong, Tran Thi Phuong,"PRIMO: A Privacy-Preserving Decentralized Machine Learning Algorithm",The First International Conference On Computational Intelligence In Engineering Science (ICCIES 2025), CCIS 2584, pp. 17–28, 2025.
Phuong-Anh Vu, Kim-Tinh Phan, Cao-Dien Nguyen, Tien-Dung Cao, Le Trieu Phong and Ngoc-Thai Nguyen,"Domain Adaptation of Federated Learning by Data Generation and Server Feedback",The 18th International Conference on Multi-disciplinary Trends in Artificial Intelligence (MIWAI 2025), LNAI 16354, pp. 272–283, 202, 2025.
Ryo Nojima, Lihua Wang,"Practical Private Approximate Similarity Computation",TProceedings of the 12th International Conference on Information Systems Security and Privacy (ICISSP 2026) , Vol.2, pp. 61-69 (2026).
Anran Xu, Hiromi Arai, Koji Yatani,"Privacy Perception and Protection in Continuous Vision-Language Models Interaction (Position Paper)",Proceedings of the 2025 Workshop on Human-Centered AI Privacy and Security, 2025.

Conference Presentation

Hiroaki Kikuchi, Mizuki Ma, "Anonymization Contest for Healthcare Data Predicting Risk of Diabetes PWS Cup 2021 Data Analysis", 2022 Cryptography and Information Security Symposium SCIS 2022, 3B2-2, pp. 1-8, 2022.[Japanese]
Horigome H., Hiroaki Kikuchi, Chia-Mu Yu, "Improving Locally Differential Privacy Algorithm PrivKV for Key-Value Data", Multimedia, Distributed, Cooperative, and Mobile Symposium (DICOMO 2022), Information Processing Society of Japan, pp. 1209-1216, 2022.[Japanese]
Andres Hernandez-Matamoros, Hiroaki Kikuchi, "Risk Evaluation of LDP scheme LoPub against Variational Autoencoder",Computer Security Symposium 2022, pp. 289-296, 2022.
H. Kikuchi, J. Domingo-Ferrer, "Estimating Joint Probability of Independently Randomized Multi-dimensional Data", Computer Security Symposium 2022, pp. 456-463, 2022.
Horigome H., Hiroaki Kikuchi, Chia-Mu Yu, "LDP Protocol for Key-value Data Using EM Algorithm Robust Against Poisoning Attacks", Computer Security Symposium 2022, pp. 129-136, 2022.[Japanese]
Hiroshi Nakagawa, Hiroaki Kikuchi, "Social survey on acceptance of use of personal data",Computer Security Symposium 2022, pp. 1222-1229, 2022.[Japanese]
Daichi Kajima , Hiroaki Kikuchi, "Investigation of the implementation status of hidden session replay services that are not described in the privacy policy",Research Report Computer Security（CSEC, 2023-CSEC-100(37),pp. 1-5, 2023.[Japanese]
Ryo Nojima, "On the relationship between decision trees and (k-) anonymization", 2023 Cryptography and Information Security Symposium（SCIS2023）1B1-4.[Japanese]
Lihua Wang, "BFL-Boost: Blockchain-based Federated Learning for Gradient Boosting to Enhance Security in Model Training", 023 Cryptography and Information Security Symposium（SCIS2023) 1D2-2.
Keita Fukuyama, Yukiko Mori, Motoo Nomura, Shigemi Matsumoto, Manabu Muto "Cost analysis of multiple drug chemotherapy for advanced gastric cancer", The 19th Annual Meeting of the Japanese Society of Clinical Oncology.[Japanese]
Kenichi Saito, Shusuke Hiraki, Yukiko Mori, Tomohiro Kuroda "Survey on patient management, financial costs, and staff mental health associated with changes in ICU configuration", The 41st Joint Conference on Medical Informatics.[Japanese]
Jun Suzumoto; Yukiko Mori; Tomohiro Kuroda "A review of the items and results of previous quantitative studies targeting the Health Information Exchange",The 26th Spring Conference of the Japan Society for Medical Informatics.[Japanese]
Saito Kenichi "Verification of optimization of care unit allocation related to COVID-19 treatment at our hospital",The 42nd Joint Conference on Medical Informatics.[Japanese]
Andres Hernandez-Matamoros, Hiroaki Kikuchi, "A Randomized Response Layer for Ensuring User Privacy in Synthetic Data Generation",Computer Security Symposium 2023 Publications, 4C1-2, 2023.
Andres Hernandez-Matamoros, Hiroaki Kikuchi,"Training Machine Learning Models for Behavior Estimation from Smartwatch with Local Differential Privacy", Papers of the Computer Security Symposium 2024, IPSJ, pp. 266–273, 2024.
Tran Thi Phuong, Le Trieu Phong,"Communication Strategies for Faster Decentralized Optimization", 2025 10th International Conference on Cloud Computing and Internet of Things (CCIOT 2025).
Le Trieu Phong, Tran Thi Phuong,"Privacy-Preserving Federated Learning: Advances in Differential Privacy and Decentralized Optimization", 2025 14th International Conference on Software and Computing Technologies (ICSCT 2025).
Le Trieu Phong,"Privacy-Preserving Decentralized Optimization", International Symposium on Applied Science 2025 (ISAS2025) .

Awards

Horigome H., Hiroaki Kikuchi, "Improving Locally Differential Privacy Algorithm PrivKV for Key-Value Data, Excellent Paper Award, Information Processing Society of Japan Multimedia, Distributed, Cooperative and Mobile Symposium (DICOMO 2022).
Horikomi, Fujita, Shindo, Shimizu, Ishiyama, "1st place (attack category), 2nd place (dual wielding category)" , Privacy Workshop 2022 PWS Cup Anonymous Healthcare Data Contest, Information Processing Society of Japan.
Hiroshi Nakagawa, Hiroaki Kikuchi, "Social survey on acceptance of use of personal data" ,CSS 2022 Encouragement Award, Information Processing Society of Japan Computer Security Symposium.
Tran Thi Phuong, "New Proof of the Decentralized BEER Optimization Algorithm under the Polyak-Łojasiewicz Condition" ,SSPS 2025 Best Presentation Award, 2025.
Le Trieu Phong, Tran Thi Phuong, "PRIMO: A Privacy-Preserving Decentralized Machine Learning Algorithm " ,ICCIES 2025 Best Regular Paper Award, 2025.

Invited Lecture

Hiroaki Kikuchi, "For both utilization of camera images and respect for privacy" , Camera Image Utilization Seminar & Symposium, Japan Electronics and Information Technology Industries Association.
Hiroaki Kikuchi, "Improvement of secure and private Key-Value data sharing" , The 8th International Conference on Mobile, Secure and Programmable Networking (MSPN　2023), Springer, LNCS, 2023.
Hiroaki Kikuchi, "Benefits, Risks and Future Challenges of PETs" , BEYOND DATA - PETs Application and Trends Seminar.
Tran Thi Phuong, "The Mathematical Foundation of Federated Learning" , Ton Duc Thang University, 2025.
Lihua Wang, Ryo Nojima and Atsushi Waseda, "Differentially Private (Random) Decision Tree with k-Anonymity and no Added Noise", 4th International Conference on AI ML, Data Science and Robotics, Porto, Portugal, 2024.
Hiroaki Kikuchi,"Privacy Enhancing Technologies (PETs) Challenges for Healthcare Bigdata", The 13-th International Conference on Emerging Internet, Data & Web Technologies (EIDWT-2025), keynote. 2025.
Tran Thi Phuong,"Privacy-Preserving Federated Learning: An Applied Mathematics Perspective", Vietnam National University in Ho Chi Minh City - University of Science (VNUHCM-US), Ho Chi Minh City, Vietnam, 2025.
Lihua Wang, Ryo Nojima and Atsushi Waseda,"Differentially Private (Random) Decision Tree with k-Anonymity and no Added Noise", European Meeting on Applied Science and Engineering (ApplSciMeet 2025), Berlin, German, 2025.