I am a Lecturer at University of Technology Sydney where I also obtained my PhD. Before that, I was a Postdoctoral Fellow at the CSIRO Data61 working with Dr. Xiwei Xu, Prof. Shiping Chen, and Dr. Wei Ni. I received my B.Eng. and M.Eng. degrees in Telecommunication Network Engineering from the University of New South Wales.

I have expertise in the reliability, trust, and scalability of data management systems, with a focus on security and privacy analysis in ML, including attacks and defenses, machine unlearning, incentivized/decentralized ML, and privacy-preserving blockchains. I have published 50+ papers at the top international journals and conferences with total .

If you are interested in my research and keen to collaborate or discuss potential PhD opportunities, please feel free to contact me via email. Much welcome!

🔥 News

• 29.03.2025:  🌟 We’re beyond excited! 🌟 Absolutely thrilled to share that our paper, Split Unlearning, has been directly accepted to ACM CCS’25 — one of the top-4 venues in cybersecurity! Huge thanks to everyone who supported this work — we’re so proud and can’t wait to share more soon! 🎉🔒💻
• 17.02.2025:  🎉🎉 Thrilled to announce that our paper, Understanding DAOs: An Empirical Study on Governance Dynamics, has been published online in IEEE Transactions on Computational Social Systems (TCSS)!
• 04.01.2025:  🎉🎉 Thrilled to announce that our paper, CAN-Trace Attack: Exploit CAN Messages to Uncover Driving Trajectories, has been accepted by IEEE Transactions on Intelligent Transportation Systems (TITS)! Congrats to my PhD student, Xiaojie Lin!
• 29.12.2024:  🎉🎉 Thrilled to announce that our paper, Accountability and Reliability in 6G O-RAN: Who is Responsible When it Fails?, has been accepted by IEEE Wireless Communications (WSM)!

📝 Publications

👾 AI, AI-Cybersecurity, AI4Blockchain, Blockchain4AI

CCS'25

Split Unlearning

Guangsheng Yu, Yanna Jiang, Qin Wang, Xu Wang, Baihe Ma, Caijun Sun, Wei Ni, Ren Ping Liu.

• This work is the first to propose, implement, and evaluate a practical unlearning framework for split learning.
• 🎉 This work has been directly accepted to ACM CCS’25.

TNNLS'23

IronForge: An Open, Secure, Fair, Decentralized Federated Learning

Guangsheng Yu, Xu Wang, Caijun Sun, Qin Wang, Ping Yu, Wei Ni, Ren Ping Liu.

• This work is an implementation of ERC-5521 in an AI context.

arXiv

Fishers Harvest Parallel Unlearning in Inherited Model Networks

Xiao Liu, Mingyuan Li, Xu Wang, Guangsheng Yu, et al.

• This work is the first-ever to achieve fully parallel unlearning across models that are interlinked.
• 💪 This work has been submitted to TIFS.

• [TSMC] Adaptive Resource Scheduling in Permissionless Sharded-Blockchains: A Decentralized Multiagent Reinforcement Learning Approach, Guangsheng Yu, Xu Wang, et al. 2023.

• [TIST] Obfuscating the Dataset: Impacts and Applications, Guangsheng Yu, Xu Wang, et al. 2023.

• [Neurocomputing] Preventing harm to the rare in combating the malicious: A filtering-and-voting framework with adaptive aggregation in federated learning, Yanna Jiang, Baihe Ma, Xu Wang, Guangsheng Yu, et al. 2024.

• [CSUR] Blockchained Federated Learning for Internet of Things: A Comprehensive Survey, Yanna Jiang, Baihe Ma, Xu Wang, Guangsheng Yu, et al. 2024

• [Computer Networks] TBDD: A New Trust-based, DRL-driven Framework for Blockchain Sharding in IoT, Zixu Zhang, Guangsheng Yu, et al. 2024.

• [arXiv] BlockFUL: Enabling Unlearning in Blockchained Federated Learning, Xiao Liu, Mingyuan Li, Guangsheng Yu, Xu Wang, et al. 💪 Submitted to TIFS.

💰 Blockchain and Web3

TEM'19

Enabling Attribute Revocation for Fine-Grained Access Control in Blockchain-IoT Systems

Guangsheng Yu, Xuan Zha,Xu Wang, Wei Ni, Kan Yu, Ping Yu, J. Andrew Zhang, Ren Ping Liu, Y. Jay Guo.

TCSS'24

Toward Web3 Applications: Easing the Access and Transition

Guangsheng Yu, Xu Wang, Qin Wang, Tingting Bi, Yifei Dong, Ren Ping Liu, Nektarios Georgalas, Andrew Reeves.

• This work is collaborated with British Telecom.

• [TCSS] Understanding DAOs: An Empirical Study on Governance Dynamics, Qin Wang, Guangsheng Yu, et al. 2025.

• [TCSS] Cryptocurrency in the Aftermath: Unveiling the Impact of the SVB Collapse, Qin Wang, Guangsheng Yu, Shiping Chen. 2024.

• [IoTJ] Blockchain-Enabled Fish Provenance and Quality Tracking System, Xu Wang, Guangsheng Yu, Ren Ping Liu, et al. 2021.

• [Computer Communications] Capacity Analysis of Public Blockchain, Xu Wang, Wei Ni, Xuan Zha, Guangsheng Yu, Ren Ping Liu, et al. 2021.

• [IPM] A Novel Dual-Blockchained Structure for Contract-theoretic LoRa-based Information Systems, Guangsheng Yu, Litianyi Zhang, Xu Wang, et al. 2021.

• [Computer & Security] A Unified Analytical Model for Proof-of-X Schemes, Guangsheng Yu, Xuan Zha, Xu Wang, et al. 2020.

• [Information Systems] Defining Blockchain Governance Principles: A Comprehensive Framework, Yue Liu, Qinghua, Lu, Guangsheng Yu, et al. 2022.

• [IA] Survey: Sharding in Blockchains, Guangsheng Yu, Xu Wang, et al. 2020.

• [ICSA’23] A Pattern-oriented Reference Architecture for Governance-driven Blockchain Systems, Yue Liu, Qinghua Lu, Guangsheng Yu, et al.

• [EuroPLoP’22] A Pattern Language for Blockchain Governance, Yue Liu, Qinghua Lu, Guangsheng Yu, et al.

• [ICBC’23] Predicting NFT Classification with GNN: A Recommender System for Web3 Assets, Guangsheng Yu, Qin Wang, et al.

• [ICBC’23] A First Look into Blockchain DAOs, Qin Wang, Guangsheng Yu, et al.

• [ICBC’23] Leveraging Architectural Approaches in Web3 Applications - A DAO Perspective Focused, Guangsheng Yu, Qin Wang, Tingting, Bi, et al.

• [ICBC’23] A Referable NFT Scheme, Qin Wang, Guangsheng Yu, et al.

• [ICBC’22] Carboncoin: Blockchain Tokenization of Carbon Emissions with ESG-based Reputation, Oscar Golding, Guangsheng Yu, et al.

• [GLOBECOM’18] Attack and Defence of Ethereum Remote APIs, Xu Wang, Xuan Zha, Guangsheng Yu, et al.

• [GLOBECOM’18] An Optimized Round-Robin Scheduling of Speakers for Peers-to-Peers-Based Byzantine Faulty Tolerance, Guangsheng Yu, Xu Wang, Xuan Zha, et al.

🚗 Applied Cybersecurity

• [IoTJ] ByCAN: Reverse Engineering Controller Area Network (CAN) Messages From Bit to Byte Level, Xiaojie Lin, Baihe Ma, Xu Wang, Guangsheng Yu, et al. 2024.

• [TITS] CAN-Trace Attack: Exploit CAN Messages to Uncover Driving Trajectories, Xiaojie Lin, Baihe Ma, Xu Wang, Guangsheng Yu, et al. 2024.

• [WCM] Accountability and Reliability in 6G O-RAN: Who is Responsible When it Fails?, Ying He, Guangsheng Yu, Xu Wang, Qin Wang, et al. 2024.

📖 Standards

We are deeply involved in the Ethereum community, contributing, collaborating, and growing together with this amazing ecosystem! 🚀✨💎🙌 #Ethereum

• [ERC-5521][Webpage][Doc], Referable NFT, Finalized!!!
• [ERC-7634], Limited transfer count NFT, Draft.

💻 Teaching

• Coord./Lect./Tut., 41900/42000 Cryptography, University of Technology Sydney. Large-scale course with over 450 students.
• Coord./Lect./Tut., 41092 Network Fundamentals, University of Technology Sydney. Fundamentals course for all Cybersecurity students.
• Coord./Lect., 65325 Digital Trace and Identity, University of Technology Sydney. Core course for Forensic students (Forensic-oriented).
• Coord./Lect., 420108 Cybersecurity Management, University of Technology Sydney. OPM course for industry.
• Tut., 43010 Cyber Threat Intelligence and Incident Response, University of Technology Sydney. SecOps course collaborated with ThreatDefense.
• Tut., 48436 Digital Forensics, University of Technology Sydney. Advanced course for Forensic students (Cybersecurity-oriented).
• Curric. Des., 43030 Professional Practice in Computing (Cybersecurity), University of Technology Sydney. Aimed for 500 students in two years.