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.