Dr Zhigang Lu ~ Lecturer, Information Technology

Dr Zhigang Lu is a Lecturer with the Discipline of Information Technology, James Cook University.

Prior to that, he was a Postdoctoral Research Fellow with the Macquarie University Cyber Security Hub, Macquarie University. He also worked as a Data Scientist in the industry for three months in early 2022. He obtained his PhD and MPhil degrees from the University of Adelaide and a BEng degree from Xidian University, all in computer science.

He was one of the two recipients of the University Master by Research Medal in 2015. He won a First Award in the National Undergraduate Mathematical Contest in Modelling (Shaanxi Division) in 2009 and a Third Award in the International Collegiate Programming Contest (ICPC Intramural Competition) in 2008.

Please visit his personal homepage for up-to-date information.

Teaching

• CP1402: Internet Fundamentals (Level 1; TSV)
• CP2403: Information Processing and Visualisation (Level 2; CNS & TSV)
• CP2404: Database Modelling (Level 2; TSV)
• CP2414: Network Security (Level 2; TSV)
• CP2501: Cloud Computing (Level 2; TSV)
• CP3413: Information Processing and Visualisation (Level 3; CNS & TSV)
• CP3511: Cloud Computing (Level 3; TSV)
• CP5806: Data Information: Management, Security, Privacy and Ethics (Level 5; ONL)

Interests

Research

• privacy preservation
• machine learning

Experience

• 2020 to 2023 - Postdoctoral Research Fellow, Macquarie University

Research Disciplines

• Cybersecurity and privacy (4604)

Socio-Economic Objectives

• Information systems, technologies and services (2204)

Awards

• 2016 - University Master by Research Medal

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles

• Lu Z, Asghar H, Kaafar M, Webb D and Dickinson P (2022) A Differentially Private Framework for Deep Learning With Convexified Loss Functions. IEEE Transactions on Information Forensics and Security, 17. pp. 2151-2165
• Lu Z and Shen H (2022) Augmentation-Based Edge Differentially Private Path Publishing in Networks. IEEE Transactions on Network and Service Management, 19 (4). pp. 5183-5195
• Lu Z and Shen H (2021) Differentially Private k-Means Clustering with Convergence Guarantee. IEEE Transactions on Dependable and Secure Computing, 18 (4). pp. 1541-1552

Conference Papers

• Hu A, Xie R, Lu Z, Hu A and Xue M (2021) TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing. Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security. In: CCS'21: 2021 ACM SIGSAC Conference on Computer and Communications Security, 15-19 November 2021, Virtual Event
• Lu Z and Shen H (2019) A Convergent Differentially Private k-Means Clustering Algorithm. Lecture Notes in Computer Science. In: PAKDD 2019: 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, 14-17 April 2019, Macau, China
• Mu X, Shen H and Lu Z (2019) A Temporal Caching-Aware Dummy Selection Location Algorithm. Proceedngs of the 20th International Conference on Parallel and Distributed Computing, Applications and Technologies. In: PDCAT 2019: 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, 5-7 December 2019, Gold Coast, QLD, Australia
• Lu Z and Shen H (2017) A New Lower Bound of Privacy Budget for Distributed Differential Privacy. Proceedings of the 18th International Conference on Parallel and Distributed Computing, Applications and Technologies. In: PDCAT 2017: 18th International Conference on Parallel and Distributed Computing, Applications and Technologies, 18-20 December 2017, Taipei, Taiwan
• Lu Z and Shen H (2015) A Security-assured Accuracy-maximised Privacy Preserving Collaborative Filtering Recommendation Algorithm. Proceedings of the 19th International Database Engineering & Applications Symposium. In: IDEAS '15: 19th International Database Engineering & Applications Symposium, 13-15 July 2015, Yokohama, Japan

Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

Current

• Defending against Cyber-attacks targeting AI-enabled Applications in Industry 4.0 (PhD , Secondary Advisor)
• Biokinetics modelling and optimization on the basis of Differential Privacy (PhD , Primary Advisor)
• Correlation Clustering Algorithm based on Differential Privacy (PhD , Primary Advisor)
• User behaviour Anomaly Detection through Spatio-temporal Trajectories (PhD , Secondary Advisor)

The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.