Zhigang Lu

Orcid: 0000-0001-5102-6217

Affiliations:
  • James Cook University, College of Science and Engineering, Townsville, QLD, Australia
  • Macquarie University, School of Computing, Sydney, NSW, Australia (2020 - 2023)
  • University of Adelaide, School of Computer Science, SA, Australia (PhD 2019)


According to our database1, Zhigang Lu authored at least 18 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Efficient Constrained K-center Clustering with Background Knowledge.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
VeriDIP: Verifying Ownership of Deep Neural Networks through Privacy Leakage Fingerprints.
CoRR, 2023

Practical, Private Assurance of the Value of Collaboration.
CoRR, 2023

2022
Augmentation-Based Edge Differentially Private Path Publishing in Networks.
IEEE Trans. Netw. Serv. Manag., December, 2022

A Differentially Private Framework for Deep Learning With Convexified Loss Functions.
IEEE Trans. Inf. Forensics Secur., 2022

2021
Differentially Private $k$k-Means Clustering With Convergence Guarantee.
IEEE Trans. Dependable Secur. Comput., 2021

Trace Recovery: Inferring Fine-grained Trace of Energy Data from Aggregates.
Proceedings of the 18th International Conference on Security and Cryptography, 2021

Trace Recovery: Attacking and Defending the User Privacy in Smart Meter Data Analytics.
Proceedings of the E-Business and Telecommunications - 18th International Conference, 2021

TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
Differentially Private k-Means Clustering with Guaranteed Convergence.
CoRR, 2020

Protect Edge Privacy in Path Publishing with Differential Privacy.
CoRR, 2020

2019
A Temporal Caching-Aware Dummy Selection Location Algorithm.
Proceedings of the 20th International Conference on Parallel and Distributed Computing, 2019

A Convergent Differentially Private k-Means Clustering Algorithm.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2017
A New Lower Bound of Privacy Budget for Distributed Differential Privacy.
Proceedings of the 18th International Conference on Parallel and Distributed Computing, 2017

Secured Privacy Preserving Data Aggregation with Semi-honest Servers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2015
A Faster Algorithm to Build New Users Similarity List in Neighbourhood-based Collaborative Filtering.
CoRR, 2015

An accuracy-assured privacy-preserving recommender system for internet commerce.
Comput. Sci. Inf. Syst., 2015

A Security-assured Accuracy-maximised Privacy Preserving Collaborative Filtering Recommendation Algorithm.
Proceedings of the 19th International Database Engineering & Applications Symposium, 2015


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