Approximating Robust Linear Regression With An Integral Privacy Guarantee. - Navoda Senavirathne; Vicenç Torra (PST, 2018)

Integral Privacy Compliant Statistics Computation. - Navoda Senavirathne; Vicenç Torra (DPM/CBT@ESORICS, 2019)

Integrally private model selection for decision trees. - Navoda Senavirathne; Vicenç Torra (Comput. Secur., 2019)

Maximal c consensus meets. - Vicenç Torra; Navoda Senavirathne (Inf. Fusion, 2019)

On the Role of Data Anonymization in Machine Learning Privacy. - Navoda Senavirathne; Vicenç Torra (TrustCom, 2020)

Dissecting Membership Inference Risk in Machine Learning. - Navoda Senavirathne; Vicenç Torra (CSS, 2021)

Systematic Evaluation of Probabilistic k-Anonymity for Privacy Preserving Micro-data Publishing and Analysis. - Navoda Senavirathne; Vicenç Torra (SECRYPT, 2021)

Towards Privacy Preserving Micro-data Analysis: A machine learning based perspective under prevailing privacy regulations. - Navoda Senavirathne (2021)

Rounding based continuous data discretization for statistical disclosure control. - Navoda Senavirathne; Vicenç Torra (J. Ambient Intell. Humaniz. Comput., 2023)