Research Interests
Tanja’s research interests focus on privacy-preserving data analysis, including techniques such as data anonymisation. Her research interests also include data and machine learning models leakage detection by mechanisms such as watermarking and fingerprinting, focusing on the robustness and effects on data utility for fingerprinting schemes.
Bio
Tanja received a bachelor´s degree in Computer Science from the University of Zagreb and a master´s degree in Logic and Computation at the TU Wien. She is currently working towards her PhD degree with the focus on ownership protection of data and machine learning models.
Publications
Top Publications:
-
A comparison of fingerprinting schemes and an evaluation of utility effect (2019)
- Machine Learning and Knowledge Extraction: International Cross-Domain Conference (CD-MAKE 2019)
@INPROCEEDINGS{Sarcevic2019fingerprinting,
author = {Tanja Sarcevic and Rudolf Mayer},
title = { A comparison of fingerprinting schemes and an evaluation of utility effect},
booktitle = {Machine Learning and Knowledge Extraction: International Cross-Domain Conference (CD-MAKE 2019)},
year = {2019},
month = {8},
pdf = {http://www.ifs.tuwien.ac.at/~mayer/publications/pdf/sar_cdmake2019_fingerprinting.pdf},
} -
A Correlation-Preserving Fingerprinting Technique for Categorical Data in Relational Databases (2020)
- 35th International Conference on ICT Systems Security and Privacy Protection (IFIP SEC 2020), IFIP Advances in Information and Communication Technology
@INPROCEEDINGS{Sarcevic2020CorrelationPreserving,
author = {Tanja Sarcevic and Rudolf Mayer},
authorhotlist = {true},
title = {A Correlation-Preserving Fingerprinting Technique for Categorical Data in Relational Databases},
booktitle = {35th International Conference on ICT Systems Security and Privacy Protection (IFIP SEC 2020),
IFIP Advances in Information and Communication Technology},
year = {2020},
month = {5},
}