Selected Publication List

Journal Articles

• Wang, X, Mo, L, Guo, L, Lu, Z, Liu, Z & Xue, M, 2025, ‘Online streaming sampling publication method over sliding windows with differential privacy’, IEEE Transactions on Dependable and Secure Computing (TDSC), early access.
  (Top-2 Journal in Computer Security)

• Guo, L, Jia, C, Liao, K, Lu, Z & Xue, M, 2025, ‘Near-optimal algorithms for instance-level constrained k-center clustering’, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 36, issue 10, pp. 18844-18858.
  (CORE-A*)

• Pang, S^, Rao, Y^, Lu, Z, Wang, H, Zhou, Y & Xue, M, 2025, ‘PriDM: effective and universal private data recovery via diffusion model’, IEEE Transactions on Dependable and Secure Computing (TDSC), vol. 22, issue 4, pp. 3259-3274.
  (Top-2 Journal in Computer Security, ^: Equal contribution)

• 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-2 Journal in Computer Security)

• 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-2 Journal in Computer Security)

Conference Papers

• Xia, J@, Zhu, H@, Pang, S^, Lu, Z^, Li, B, Zhou, Y & Xue, M, 2025, ‘One head to rule them all: amplifying LVLM safety through a single critical attention head’, In Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS-2025), San Diego, USA, pp. accepted.
  (Top-3 Conference in Machine Learning, @: Co-first author, ^: Co-second author)

• Asghar, HJ, Lu, Z, Zhao, Z & Kaafar, MA, 2025, ‘Practical, private assurance of the value of collaboration via fully homomorphic encryption’, In Proceedings of the 25th Privacy Enhancing Technologies Symposium (PETS-2025), Washington, D.C., USA, vol. 2025, issue 2, pp. 258-279.
  (CORE-A)

• Zhu, H, Pang, S^, Lu, Z^, Zhou, Y & Xue, M, 2025, ‘GAP-Diff: protecting JPEG-compressed images from diffusion-based facial customization’, In Proceedings of the 32nd Annual Network and Distributed System Security Symposium (NDSS-2025), The Internet Society, San Diego, USA, pp. open access.
  (Big-4 Conference in Computer Security, ^: Equal contribution)

• 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-2024), Usenix, Philadelphia, USA, pp. 1063-1080.
  (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-2024), AAAI, Vancouver, Canada, pp. 20709-20717.
  (Top-2 Conference in Artificial Intelligence, ^: Equal contribution)