Thilina Ranbaduge

Private Graph Data Release: A Survey

K. S. Ng, T. Rakotoarivelo, David B. Smith, 2021, ACM Comput. Surv..

Linking Sensitive Data: Methods and Techniques for Practical Privacy-Preserving Information Sharing

Peter Christen, Rainer Schnell, Thilina Ranbaduge, 2020 .

Vertical Federated Learning: Challenges, Methodologies and Experiments

Jun Li, Guihai Chen, Fan Wu, 2022, ArXiv.

Efficient Pattern Mining Based Cryptanalysis for Privacy-Preserving Record Linkage

Peter Christen, Rainer Schnell, Anushka Vidanage, 2019, 2019 IEEE 35th International Conference on Data Engineering (ICDE).

Pattern-Mining Based Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage

Peter Christen, Rainer Schnell, Anushka Vidanage, 2018, PAKDD.

Efficient Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage

Peter Christen, Rainer Schnell, Thilina Ranbaduge, 2017, PAKDD.

Privacy-preserving Deep Learning based Record Linkage

Ming Ding, Dinusha Vatsalan, T. Ranbaduge, 2022, IEEE Transactions on Knowledge and Data Engineering.

Differentially Private Vertical Federated Learning

Ming Ding, T. Ranbaduge, Thilina Ranbaduge, 2022, ArXiv.

Accurate privacy-preserving record linkage for databases with missing values

R. Schnell, P. Christen, Sirintra Vaiwsri, 2021, Inf. Syst..

Hashing-Based Distributed Multi-party Blocking for Privacy-Preserving Record Linkage

Peter Christen, Vassilios S. Verykios, Thilina Ranbaduge, 2016, PAKDD.