Research output per year
Research output per year
Personal profile
Qualifications
PhD in Computer Science
Research Interests
Data Privacy and Security, Data Mining, Privacy-Preserving Record Linkage, Distributed Machine Learning, Differential Privacy, Federated Learning
Research student supervision
- Registered to supervise
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Dive into the research topics where Anushka Vidanage is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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A method and app for measuring the heterogeneous costs and benefits of justice processes
Manning, M., Wong, G. T. W., Mahony, C. & Vidanage, A., 16 May 2023, In: Frontiers in Psychology. 14, 12 p., 1094303.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
A critique and attack on “Blockchain-based privacy-preserving record linkage”
Christen, P., Schnell, R., Ranbaduge, T. & Vidanage, A., Sept 2022, In: Information Systems. 108, 101930.Research output: Contribution to journal › Article › peer-review
10 Citations (Scopus) -
A Graph Matching Attack on Privacy-Preserving Record Linkage
Vidanage, A., Christen, P., Ranbaduge, T. & Schnell, R., 19 Oct 2020, CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), p. 1485-1494 10 p. (International Conference on Information and Knowledge Management, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
23 Citations (Scopus) -
A privacy attack on multiple dynamic match-key based privacy-preserving record linkage
Vidanage, A., Ranbaduge, T., Christen, P. & Randall, S., 2020, In: International Journal of Population Data Science. 5, 1, 1345.Research output: Contribution to journal › Article › peer-review
Open Access9 Citations (Scopus) -
Efficient pattern mining based cryptanalysis for privacy-preserving record linkage
Vidanage, A., Ranbaduge, T., Christen, P. & Schnell, R., Apr 2019, Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019. IEEE Computer Society, p. 1698-1701 4 p. 8731536. (Proceedings - International Conference on Data Engineering; vol. 2019-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
32 Citations (Scopus)
Projects
- 1 Active
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Novel methods of data integration and federated learning for many-party individual-privacy applications
Christen, P. (PI), Nanayakkara, C. (CoI), Vidanage, A. (CoI) & Williams, G. (CoI)
1/01/24 → 31/12/25
Project: Research