Dr Anushka Vidanage
PhD in Computer Science
Research Fellow, Software Innovation Institute
ANU College of Engineering, Computing and Cybernetics
Areas of expertise
- Pattern Recognition And Data Mining 080109
- Data Encryption 080402
- Data Structures 080403
- Cryptography 460401
- Data And Information Privacy 460402
Research interests
Data Privacy and Security, Data Mining, Privacy-Preserving Record Linkage, Distributed Machine Learning, Differential Privacy, Federated Learning
Publications
- Christen, P, Schnell, R, Ranbaduge, T et al. 2021, 'A critique and attack on "Blockchain-based privacy-preserving record linkage"', Information Systems, vol. 108, p. 101930.
- Vidanage, A, Ranbaduge, T, Christen, P et al. 2020, 'A privacy attack on multiple dynamic match-key based privacy-preserving record linkage', International Journal of Population Data Science, vol. 5, no. 1, pp. 1-13.
- Vidanage, A, Christen, P, Ranbaduge, T et al. 2020, 'A Graph Matching Attack on Privacy-Preserving Record Linkage', 29th ACM International Conference on Information & Knowledge Management, CIKM2020, Association for Computing Machinery (ACM), New York, NY, United States, pp. 1485-1494.
- Vidanage, A, Ranbaduge, T, Christen, P et al. 2019, 'Efficient pattern mining based cryptanalysis for privacy-preserving record linkage', 35th IEEE International Conference on Data Engineering, ICDE 2019, IEEE Computer Society, United States, pp. 1698-1701.
- Christen, P, Vidanage, A, Ranbaduge, T et al. 2018, 'Pattern-mining based cryptanalysis of bloom filters for privacy-preserving record linkage', 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, ed. D Phung, V S Tseng, G I Webb, B Ho, M Ganji, L Rashidi, Springer Verlag, Switzerland, pp. 530-542.
