Full Publication List

Journal Articles

• Hu, A, Lu, Z, Xie, R & Xue, M, 2023, ‘VeriDIP: verify ownership of deep neural networks through privacy leakage fingerprints’, IEEE Transactions on Dependable and Secure Computing (TDSC), Early Access.
  (Top-3 Journal in Cybersecurity and Privacy)

• Jia, C, Guo, L^, Liao, K^ & Lu, Z^, 2022, ‘Efficient algorithm for the k-means problem with must-link and cannot-link constraints’, Tsinghua Science and Technology, vol. 28, no. 6, pp. 1050-1062.
  (SJR Q1, ^: Alphabetical Order)

• Lu, Z & Shen, H, 2022, ‘Augmentation based edge differentially private path publishing in networks’, IEEE Transactions on Network and Service Management (TNSM), vol. 17, no. 4, pp. 5183-5195.
  (SJR Q1)

• Lu, Z, Asghar, HJ, Kaafar, MA, Webb, D & Dickinson, P, 2022, ‘A differentially private framework for deep learning with convexified loss functions’, IEEE Transactions on Information Forensics and Security (TIFS), vol. 17, pp. 2151-2165.
  (Top-3 Journal in Cybersecurity and Privacy)

• Lu, Z & Shen, H, 2021, ‘Differentially private k-means clustering with convergence guarantee’, IEEE Transactions on Dependable and Secure Computing (TDSC), vol. 18, no. 4, pp. 1541-1552.
  (Top-3 Journal in Cybersecurity and Privacy)

• Lu, Z & Shen, H, 2015, ‘An accuracy-assured privacy-preserving recommender system for internet commerce’, Computer Science and Information Systems (ComSIS), vol. 12, no. 4, pp. 1307–1326.

Conference Papers

• Hu, A, Xie, R, Lu, Z, Hu, A & Xue, M, 2021, ‘TableGAN-MCA: evaluating membership collisions of GAN-synthesized tabular data releasing’, In Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communicatiions Security (CCS-2021), ACM, New York, USA, pp. 2096-2112.
  (Big-4 Conference in Cybersecurity and Privacy)

• Sheikh, NU, Lu, Z, Asghar, HJ & Kaafar, MA, 2021, ‘Trace recovery: inferring fine-grained trace of energy data from aggregates’, In Proceedings of the 18th International Conference on Security and Cryptography (SECRYPT-2021), SCITEPRESS, Setubal, Portugal, pp. 283-294.

• Mu, X, Shen, H & Lu, Z, 2019, ‘Temporal caching-aware dummy location selection for privacy protection in location-based services’, In Proceedings of the 20th International Conference on Parallel and Distributed Computing: Applications and Technologies (PDCAT-2019), IEEE, New York, USA, pp. 501-504.

• Lu, Z & Shen, H, 2019, ‘A convergent differentially private k-means clustering algorithm’, In Proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2019), Springer, Berlin, Heidelberg, pp. 612-624.
  (CORE A)

• Lu, Z & Shen, H, 2017, ‘A new lower bound of privacy budget for distributed differential privacy’, In Proceedings of the 18th International Conference on Parallel and Distributed Computing: Applications and Technologies (PDCAT-2017), IEEE, New York, USA, pp. 25-32.

• Lu, Z & Shen, H, 2017, ‘Secured privacy preserving data aggregation with semi-honest servers’, In Proceedings of the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2017), Springer, Berlin, Heidelberg, pp. 300-312.
  (CORE A)

• Lu, Z & Shen, H, 2016, ‘A fast algorithm to build new users similarity list in neighbourhood-based collaborative filtering’, In Proceedings of the 16th International Conference on Parallel and Distributed Computing: Applications and Technologies (PDCAT-2015), Springer, Berlin, Heidelberg, pp. 229–236.

• Lu, Z & Shen, H, 2015, ‘A security-assured accuracy-maximised privacy preserving collaborative filtering recommendation algorithm’, In Proceedings of the 19th International Database Engineering & Applications Symposium (IDEAS-2015), ACM, New York, USA, pp. 72-80.

Manuscript(s)

• Asghar, HJ, Lu, Z, Zhongrui Zhao & Kaafar, MA, 2023, ‘Practical, Private Assurance of the Value of Collaboration’.

• Tonni, SM, Vatsalan, D, Farokhi, F, Kaafar, MA, Lu, Z & Tangari, G, 2021, ‘Data and model dependencies of membership inference attack’.