Selected Publication List

Journal Articles

• Rao, Y^, Hu, A^, Lu, Z, Pang S, Zhou, Y & Xue, M, 2026, ‘Probing the privacy boudnaries: training data exposure in tabular diffusion models’, IEEE Transactions on Dependable and Secure Computing (TDSC), accepted.
  (Top-2 Journal in Computer Security, ^: Equal contribution)

• Jia, C, Guo, L, Lu, Z, Chen, C & Ong, K-L, 2026, ‘Near-optimal differentially private k-center for service computing with access control’, IEEE Transactions on Services Computing, Early Access.
  (CORE-A*)

• 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), vol. 22, issue 6, pp. 6896-6912.
  (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)

Conference Papers

• Zhao, Z^@, Cai, Y^@, Lu, Z, Guo, L, Lee, I, Pang, S & Xue, M, 2026, ‘CAST: certifiable aggregation of smoothed teachers for robust policy adaptation’, In Proceedings of the 40th Annual Conference on Neural Information Processing Systems (NeurIPS-2026), Curran Associates, Sydney, Australia, pp. open access.
  (Top-3 Conference in Machine Learning, ^: Equal contribution, @: my PhD student)

• Fan, J^, Zhu, H^, Lu, Z, Xia, J, Tang, X, Pang, S & Xue, M, 2026, ‘ChainForge: tool-chain hijacking attacks against llm agents via execution-grounded tool synthesis’, In Proceedings of the 40th Annual Conference on Neural Information Processing Systems (NeurIPS-2026), Curran Associates, Sydney, Australia, pp. open access.
  (Top-3 Conference in Machine Learning, ^: Equal contribution)

• Zhu, H, Pang, S^, Lu, Z^, Fan, J, Liu, F, Zheng, X, Tang, X & Xue, M, 2026, ‘DualSteer: dual-space steering for robust jailbreak mitigation of large vision language models’, In Proceedings of the 40th Annual Conference on Neural Information Processing Systems (NeurIPS-2026), Curran Associates, Sydney, Australia, pp. open access.
  (Top-3 Conference in Machine Learning, ^: Equal contribution)

• Cai, Y^@, Zhao, Z^@, Lu, Z, Lee, I, Zhang, W E, Xue, M, Zhang, Y, Pang, S & Xiang, W, 2026, ‘AI alignment through a game-theoretic lens: a survey’, In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP-2026), ACL, Budapest, Hungary, pp. accepted.
  (Top-3 Conference in Natural Language Processing, ^: Equal contribution, @: my PhD student)

• Jia, C, Guo, L, Liao, K, Lu, Z, Chen, C & Xue, M, 2026, ‘Approximation algorithm for constrained k-center clustering: a local search approach’, In Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI-2026), AAAI, Singapore, pp. 36982-36990.
  (Top-2 Conference in Artificial Intelligence)