Selected Publication List

Journal Articles

• Hu, A, Lu, Z, Xie, R & Xue, M, 2024, ‘VeriDIP: verify ownership of deep neural networks through privacy leakage fingerprints’, IEEE Transactions on Dependable and Secure Computing (TDSC), vol. 21, issue 4, pp. 2568-2584.
  (Top-3 Journal in Computer Security)

• Jia, C, Guo, L^, Liao, K^ & Lu, Z^, 2023, ‘Efficient algorithm for the k-means problem with must-link and cannot-link constraints’, Tsinghua Science and Technology, vol. 28, issue 6, pp. 1050-1062.
  (SJR Q1, ^: Equal contribution)

• Lu, Z & Shen, H, 2022, ‘Augmentation based edge differentially private path publishing in networks’, IEEE Transactions on Network and Service Management (TNSM), vol. 19, issue 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 Computer Security)

• Lu, Z & Shen, H, 2021, ‘Differentially private k-means clustering with convergence guarantee’, IEEE Transactions on Dependable and Secure Computing (TDSC), vol. 18, issue 4, pp. 1541-1552.
  (Top-3 Journal in Computer Security)

Conference Papers

• Wang, H, Pang, S^, Lu, Z^, Rao, Y, Zhou, Y & Xue, M, 2024, ‘dp-promise: differentially private diffusion probabilistic models for image synthesis’, In Proceedings of the 33rd Usenix Security Symposium (Usenix Security-24), Usenix, Philadelphia, USA, pp. TBA.
  (Big-4 Conference in Computer Security, ^: Equal contribution)

• Guo, L^, Jia, C^, Liao, K^, Lu, Z^ & Xue, M^, 2024, ‘Efficient constrained k-center clustering with background knowledge’, In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), AAAI, Vancouver, Canada, pp. 20709-20717.
  (Top-2 Conference in Artificial Intelligence, ^: Equal contribution)

• 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 Communications Security (CCS-2021), ACM, Seoul, South Korea, pp. 2096-2112.
  (Big-4 Conference in Computer Security)

• 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, Macau, China, pp. 612-624.
  (CORE-2018 A)

• 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, Jeju, South Korea, pp. 300-312.
  (CORE-2017 A)