ZHUOTAO LIAN

Last Updated :2026/10/02

Affiliations, Positions
Graduate School of Advanced Science and Engineering, Assistant Professor
E-mail
lian-zhuotaohiroshima-u.ac.jp
Self-introduction
I work in the field of AI privacy and security, with a focus on federated learning, privacy-preserving techniques, blockchain-based systems, and the security of large language models. My research explores how to enhance the privacy and resilience of machine learning systems without sacrificing usability or performance. I aim to contribute to the development of an AI society that values privacy and security.

Basic Information

Major Professional Backgrounds

  • 2025/04/01, Hiroshima University, Graduate School of Advanced Science and Engineering, Assistant Professor
  • 2024/04/01, 2025/03/31, Kyushu University, Faculty of Information Science and Electrical Engineering, JSPS Postdoctoral Fellow

Educational Backgrounds

  • University of Aizu, Graduate School of Computer Science and Engineering, Doctoral Program, Japan, 2021/10/01, 2024/03/31
  • University of Aizu, Graduate School of Computer Science and Engineering, Master's Program, Japan, 2019/10/01, 2021/09/30
  • China University of Geosciences, Department of Computer Science and Technology, Bachelor's program, China, 2016/09/01, 2020/06/30

Academic Degrees

  • University of Aizu
  • University of Aizu

Research Fields

  • Informatics;Computing Technologies;Information security

Educational Activity

Course in Charge

  1. 2026, Graduate Education (Doctoral Program) , 3Term, Data Science
  2. 2026, Liberal Arts Education Program1, 1Term, Introductory Seminar for First-Year Students
  3. 2026, Undergraduate Education, First Semester, Programming I
  4. 2026, Undergraduate Education, Second Semester, Programming II
  5. 2026, Undergraduate Education, First Semester, Programming III
  6. 2026, Undergraduate Education, 1Term, Frontier of Informatics and Data Science
  7. 2026, Undergraduate Education, Intensive, Research Project
  8. 2026, Undergraduate Education, 4Term, Informatics and Data Science Exercise IV
  9. 2026, Undergraduate Education, 1Term, Computer Science Seminar I
  10. 2026, Undergraduate Education, 2Term, Computer Science Seminar II
  11. 2026, Undergraduate Education, Second Semester, Graduation Thesis
  12. 2026, Graduate Education (Master's Program) , 1Term, Special Exercises on Informatics and Data Science A
  13. 2026, Graduate Education (Master's Program) , 2Term, Special Exercises on Informatics and Data Science A
  14. 2026, Graduate Education (Master's Program) , 3Term, Special Exercises on Informatics and Data Science B
  15. 2026, Graduate Education (Master's Program) , 4Term, Special Exercises on Informatics and Data Science B
  16. 2026, Graduate Education (Master's Program) , Year, Special Study on Informatics and Data Science
  17. 2026, Undergraduate Education, Second Semester, Research Tutorial I

Research Activities

Academic Papers

  1. Enhancing Privacy and Accountability in Federated Learning for Smart IoT, Lecture Notes in Networks and Systems, 1942 LNNS, 441-443, 20260101
  2. POSTER: A Server-Side Proactive Defense Framework for Poison-Resilient Federated Learning, Lecture Notes in Computer Science, 16172 LNCS, 498-502, 20260101
  3. Privacy-Preserving LLM Agent for Multi-modal Health Monitoring, Lecture Notes in Computer Science, 16172 LNCS, 488-492, 20260101
  4. POSTER: Tricking LLM-Based NPCs into Spilling Secrets, Lecture Notes in Computer Science, 16172 LNCS, 483-487, 20260101
  5. POSTER: AI-Based Physical Layer Key Generation Mechanism, Lecture Notes in Computer Science, 16172 LNCS, 493-497, 20260101
  6. Prompt-in-Content Attacks: Exploiting Uploaded Inputs to Hijack LLM Behavior, Lecture Notes in Computer Science, 16326 LNCS, 146-160, 20260101
  7. Layerwise Selective Quantization for Communication-Efficient Federated Learning in Consumer IoT Devices, Digest of Technical Papers IEEE International Conference on Consumer Electronics, 20260101
  8. An Application Calculating Contact Frequency to Promote Interpersonal Interaction, 2026 IEEE 2nd International Conference on Consumer Technology ICCT Pacific 2026, 530-533, 20260101
  9. Detecting Events and Groups at a Campus by Using WLAN Connection Log, 2026 IEEE 2nd International Conference on Consumer Technology ICCT Pacific 2026, 109-112, 20260101
  10. A Reputation-Aware Defense Framework for Strategic Behaviors in Federated Learning, Telecom, 6(3), 20250901
  11. A Reputation-Aware Defense Framework for Strategic Behaviors in Federated Learning, TELECOM, 6(3), 20250811
    Link to Paper Search Results by DOI
  12. WiFi-based Intelligent Wireless Sensing for Privacy-Preserving Human Behavior Recognition under AIoT Architecture, Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications, 16(1), 104-120, 20250301
  13. Linked-Data based Verifiable Credentials for Selective Disclosure with Efficient Verification, Proceedings 2025 13th International Symposium on Computing and Networking Candar 2025, 153-159, 20250101
  14. FLNAP: Mitigating LDP Impact in Federated Learning with Noise-Aware Pre-Training, International Conference on Advanced Infocomm Technology Icait, 128-134, 20250101
  15. Asynchronous Remote Distributed Key Generation Method for Securing User Data in the Metaverse, IEEE Transactions on Consumer Electronics, 71(1), 198-208, 20250101
  16. MarkFL: Efficient Watermarking in Federated Learning via Parallel Training and Weighted Averaging, IEEE Transactions on Computational Social Systems, 20250101
  17. RTCS: An Improved Real-Time Credibility-Based Intrusion Detection System, IEEE Internet of Things Journal, 12(8), 10948-10957, 20250101
  18. Privacy-Enhanced Federated WiFi Sensing for Health Monitoring in Internet of Things, IEEE Internet of Things Journal, 12(3), 2994-3002, 20250101
  19. A review and implementation of physical layer channel key generation in the Internet of Things, Journal of Information Security and Applications, 83, 20240601
  20. Traffic Sign Recognition Using Optimized Federated Learning in Internet of Vehicles, IEEE Internet of Things Journal, 11(4), 6722-6729, 20240215
  21. AggreMark: Efficient Watermarking in Federated Learning via Weighted Averaging, Proceedings IEEE Congress on Cybermatics 2024 IEEE International Conferences on Internet of Things Ithings 2024 IEEE Green Computing and Communications Greencom 2024 IEEE Cyber Physical and Social Computing Cpscom 2024 IEEE Smart Data Smartdata 2024, 473-478, 20240101
  22. Privacy-Preserving Parameter Aggregation Scheme Based on Two Leaders for Federated Learning, Proceedings 2024 IEEE Cyber Science and Technology Congress Cyberscitech 2024, 125-131, 20240101
  23. Evaluating Differential Privacy in Federated Continual Learning: A Catastrophic Forgetting-Performance Tradeoff Analysis, Proceedings 2024 12th International Symposium on Computing and Networking Candar 2024, 135-141, 20240101
  24. FIND: Privacy-Enhanced Federated Learning for Intelligent Fake News Detection, IEEE Transactions on Computational Social Systems, 11(4), 5005-5014, 20240101
  25. Guest Editorial: Metaverse for Healthcare Trends, Challenges, and Solutions, IEEE Journal of Biomedical and Health Informatics, 28(11), 6296-6297, 20240101
  26. PCIDS: Permission and Credibility-Based Intrusion Detection System in IoT Gateways, IEEE Internet of Things Journal, 11(1), 904-913, 20240101
  27. Blockchain-Based Personalized Federated Learning for Internet of Medical Things, IEEE Transactions on Sustainable Computing, 8(4), 694-702, 20231001
  28. Blockchain-Based Two-Stage Federated Learning With Non-IID Data in IoMT System, IEEE Transactions on Computational Social Systems, 10(4), 1701-1710, 20230801
  29. Secure-Enhanced Federated Learning for AI-Empowered Electric Vehicle Energy Prediction, IEEE Consumer Electronics Magazine, 12(2), 27-34, 20230301
  30. Road crash risk prediction during COVID-19 for flash crowd traffic prevention: The case of Los Angeles, Computer Communications, 198, 195-205, 20230115
  31. Privacy-stealing Approach in Distributed IoMT Systems, Proceedings 2023 16th IEEE International Symposium on Embedded Multicore Many Core Systems on Chip Mcsoc 2023, 301-305, 20230101
  32. SPoiL: Sybil-Based Untargeted Data Poisoning Attacks in Federated Learning, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 13983 LNCS, 235-248, 20230101
  33. SVBE: searchable and verifiable blockchain-based electronic medical records system, Scientific Reports, 12(1), 20221201
  34. Privacy-Enhanced Federated Generative Adversarial Networks for Internet of Things, Computer Journal, 65(11), 2860-2869, 20221101
  35. Decentralized Federated Learning for Internet of Things Anomaly Detection, Asia Ccs 2022 Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security, 1249-1251, 20220530
  36. Privacy-preserving Blockchain-based Global Data Sharing for Federated Learning with Non-IID Data, Proceedings 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops Icdcsw 2022, 193-198, 20220101
  37. CNN-Based Attack Defense for Device-Free Localization, Mobile Information Systems, 2022, 20220101
  38. Layer-Based Communication-Efficient Federated Learning with Privacy Preservation, IEICE Transactions on Information and Systems, E105D(2), 256-263, 20220101
  39. DEEP-FEL: Decentralized, Efficient and Privacy-Enhanced Federated Edge Learning for Healthcare Cyber Physical Systems, IEEE Transactions on Network Science and Engineering, 9(5), 3558-3569, 20220101
  40. WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy, IEEE International Conference on Communications, 2022-May, 2071-2076, 20220101
  41. COFEL: Communication-Efficient and Optimized Federated Learning with Local Differential Privacy, IEEE International Conference on Communications, 20210601
  42. DETR-BAL: Decentralized mobile sensing intrusion detection via latent mining and Bayesian local optimization, FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 174, 202601
    Link to Paper Search Results by DOI

Invited Lecture, Oral Presentation, Poster Presentation

  1. When Tone Matters: On the Fairness of LLM-Based Evaluation under Semantic Invariance, Zhuotao Lian, 6th International Conference on NOVEL & INTELLIGENT DIGITAL SYSTEMS (NIDS) 2026, 2026/09/23, Without Invitation, English, the University of West Attica, Athens, Greece
  2. Enhancing Privacy and Accountability in Federated Learning for Smart IoT, Zhuotao Lian, ACR'26 - Fourth International Conference on Advances in Computing Research, 2026/07/15, Without Invitation, English
  3. Layerwise Selective Quantization for Communication-Efficient Federated Learning in Consumer IoT Devices, Zhuotao Lian, 2026 IEEE International Conference on Consumer Electronics (ICCE), 2026/02/03, Without Invitation, English
  4. Prompt-in-content attacks: Exploiting uploaded inputs to hijack llm behavior, Zhuotao Lian, International Conference on Network and System Security, 2025/12/05, Without Invitation, English
  5. Evaluating Differential Privacy in Federated Continual Learning: A Catastrophic Forgetting-Performance Tradeoff Analysis, CANDAR 2025: The Thirteenth International Symposium on Computing and Networking, 2025/11/25, Without Invitation, English
  6. Credit-Aware Voting for Decentralized Federated Learning, IWSEC 2023: International Workshop on Security, 2023/08/29, Without Invitation, English
  7. Decentralized Federated Learning for Internet of Things Anomaly Detection, ASIA CCS: ACM on Asia Conference on Computer and Communications Security, 2022/05/30, Without Invitation, English
  8. WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy, ICC 2022: IEEE International Conference on Communications, 2022/05/16, Without Invitation, English
  9. Privacy-preserving Blockchain Based Global Data Sharing for Federated Learning with Non-IID Data, SCIS2022 Symposium on Cryptography and Information Security, Without Invitation, English
  10. SPoiL: Sybil-Based Untargeted Data Poisoning Attacks in Federated Learning, NSS 2023: 17th International Conference on Network and System Security, 2023/08/14, Without Invitation, English

External Funds

Acceptance Results of Competitive Funds

  1. Grant-in-Aid for Early-Career Scientists, Poisoning Attacks in Federated Prompt Learning: Analysis and Defense Mechanisms, 2026/04/01, 2029/03/31
  2. Grants-in-Aid for Scientific Research (KAKENHI), Enhancing efficiency and privacy of federated learning systems for IoT applications, 2024/04/23

Social Activities

History as Committee Members

  1. Member, IPSJ
  2. Member, IEEE
  3. Vice Chair, IEEE Student Branch of the University of Aizu

Organizing Academic Conferences, etc.

  1. The 3rd International Conference on Artificial Intelligence and Computing Systems (AICompS 2026), International Publicity Chairs, 2026/12, 2026/12
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  2. 28th International Conference on Information and Communications Security (ICICS 2026), Web Chair, 2026/10, 2026/10
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  3. The 11th IEEE International Conference on Cloud and Big Data Computing (CBDCom 2025), Publicity Chair, 2025/11, 2025/11
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  4. The 23rd IEEE International Conference on Pervasive Intelligence and Computing (PICom 2025), Publicity Chair, 2025/11, 2025/11
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  5. The 10th IEEE Cyber Science and Technology Congress (CyberSciTech 2025), Publicity Chair, 2025/11, 2025/11
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  6. The 23rd IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2025), Publicity Chair, 2025/10, 2025/10
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  7. ProvSec 2025: The 19th International Conference on Provable and Practical Security, Publication Chair, 2025/10, 2015/10
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  8. The International Conference on Artificial Intelligence Computing and Systems (AICompS 2025), International Publicity Chair, 2025/11, 2025/11
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History as Peer Reviews of Academic Papers

  1. 2025, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, Editor, Special Issue Editor
  2. 2025, Mathematics, Editor, Special Issue Editor