Wang, Xiujun, Mo, Lei, Guo, Longkun, Lu, Zhigang, Liu, Zhi, and Xue, Minhui (2025) Online Streaming Sampling Publication Method Over Sliding Windows With Differential Privacy. IEEE Transactions on Dependable and Secure Computing, 22 (6). 11095425.

Guo, Longkun, Jia, Chaoqi, Liao, Kewen, Lu, Zhigang, and Xue, Minhui (2024) Efficient Constrained K-center Clustering with Background Knowledge. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (38) pp. 20709-20717. From: AAAI 2024: 38th AAAI Conference on Artificial Intelligence, 20-27 February 2024, Vancouver, Canada.

Wang, Haichen, Pang, Shuchao, Lu, Zhigang, Rao, Yihang, Zhou, Yongbin, and Xue, Minhui (2024) dp-promise: Differentially Private Diffusion Probabilistic Models for Image Synthesis. In: Proceedings of the 33rd Usenix Security Symposium. pp. 1063-1080. From: 33rd USENIX Security Sumposium, 14-16 August 2024, Philadelphia, PA, USA.

Lu, Zhigang, and Shen, Hong (2022) Augmentation-Based Edge Differentially Private Path Publishing in Networks. IEEE Transactions on Network and Service Management, 19 (4). pp. 5183-5195.

Lu, Zhigang, Asghar, Hassan Jameel, Kaafar, Mohamed Ali, Webb, Darren, and Dickinson, Peter (2022) A Differentially Private Framework for Deep Learning With Convexified Loss Functions. IEEE Transactions on Information Forensics and Security, 17. pp. 2151-2165.

Lu, Zhigang, and Shen, Hong (2021) Differentially Private k-Means Clustering with Convergence Guarantee. IEEE Transactions on Dependable and Secure Computing, 18 (4). pp. 1541-1552.

Hu, Aoting, Xie, Renjie, Lu, Zhigang, Hu, Aiqun, and Xue, Minhui (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. pp. 2096-2112. From: CCS'21: 2021 ACM SIGSAC Conference on Computer and Communications Security, 15-19 November 2021, Virtual Event.

Sheikh, Nazim Uddin, Lu, Zhigang, Asghar, Hassan Jameel, and Kaafar, Mohamed (2021) Trace Recovery: Inferring Fine-grained Trace of Energy Data from Aggregates. In: Proceedings of the 18th International Conference on Security and Cryptography (1) pp. 283-274. From: SECRYPT: 18th International Conference on Security and Cryptography, 6-8 July 2021, Online.

Lu, Zhigang, and Shen, Hong (2019) A Convergent Differentially Private k-Means Clustering Algorithm. In: Lecture Notes in Computer Science (11439) pp. 612-624. From: PAKDD 2019: 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, 14-17 April 2019, Macau, China.

Mu, Xuejiao, Shen, Hong, and Lu, Zhigang (2019) A Temporal Caching-Aware Dummy Selection Location Algorithm. In: Proceedngs of the 20th International Conference on Parallel and Distributed Computing, Applications and Technologies. pp. 501-504. From: PDCAT 2019: 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, 5-7 December 2019, Gold Coast, QLD, Australia.

Lu, Zhigang, and Shen, Hong (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. pp. 25-32. From: PDCAT 2017: 18th International Conference on Parallel and Distributed Computing, Applications and Technologies, 18-20 December 2017, Taipei, Taiwan.

Lu, Zhigang, and Shen, Hong (2017) Secured Privacy Preserving Data Aggregation with Semi-honest Servers. In: Advances in Knowledge Discovery and Data Mining: proceedings of the 21st Pacific-Asia Conference (10235) pp. 300-312. From: PAKDD 2017: Pacific-Asia Conference on Knowledge Discovery and Data Mining, 23-26 May 2017, Jeju, South Korea.

Lu, Zhigang, and Shen, Hong (2016) A Fast Algorithm to Build New Users Similarity List in Neighbourhood-Based Collaborative Filtering. In: Advances in Parallel and Distributed Computing and Ubiquitous Services (368) pp. 229-236. From: UCAWSN-15: 4th International Conference on Ubiquitous Computing Application and Wireless Sensor Network, 8-10 July 2015, Jeju, Korea.

Lu, Zhigang, and Shen, Hong (2015) A Security-assured Accuracy-maximised Privacy Preserving Collaborative Filtering Recommendation Algorithm. In: Proceedings of the 19th International Database Engineering & Applications Symposium. pp. 72-80. From: IDEAS '15: 19th International Database Engineering & Applications Symposium, 13-15 July 2015, Yokohama, Japan.

Lu, Zhigang, and Shen, Hong (2015) An accuracy-assured privacy-preserving recommender system for internet commerce. Computer Science and Information Systems, 12 (4). pp. 1307-1326.