Selected Publication List
Full publications can be found HERE.
Journal Articles
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), accepted.
(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), early access.
(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
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)
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)
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