tanjascats
PhD candidate @ TU Wien | Researcher on privacy & security of ML.
SBA ResearchVienna, Austria
Pinned Repositories
ACDL-2022
anonymization
arx
ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.
BeyondCoding-workshop
DPFP_Scheme
EEML-2021
Eastern-European Machine Summer School - my poster and lecture materials
fingerprinting-toolbox
Fingerprinting toolbox that allows embedding and extracting fingerprints into the relational data
GenAI-IP-protection
A survey of intellectual property protection methods for data in GAI
IFIPSEC-2020
Sarcevic T, Mayer R. A Correlation-Preserving Fingerprinting Technique for Categorical Data in Relational Databases. In IFIP International Conference on ICT Systems Security and Privacy Protection 2020 Sep 21 (pp. 401-415). Springer, Cham.
master-thesis
Master thesis @ TU Wien 2019 - Fingerprinting Relational Databases: Quality Evaluation and Impact on Learning Tasks
tanjascats's Repositories
tanjascats/fingerprinting-toolbox
Fingerprinting toolbox that allows embedding and extracting fingerprints into the relational data
tanjascats/GenAI-IP-protection
A survey of intellectual property protection methods for data in GAI
tanjascats/ACDL-2022
tanjascats/anonymization
tanjascats/arx
ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.
tanjascats/BeyondCoding-workshop
tanjascats/DPFP_Scheme
tanjascats/EEML-2021
Eastern-European Machine Summer School - my poster and lecture materials
tanjascats/IFIPSEC-2020
Sarcevic T, Mayer R. A Correlation-Preserving Fingerprinting Technique for Categorical Data in Relational Databases. In IFIP International Conference on ICT Systems Security and Privacy Protection 2020 Sep 21 (pp. 401-415). Springer, Cham.
tanjascats/master-thesis
Master thesis @ TU Wien 2019 - Fingerprinting Relational Databases: Quality Evaluation and Impact on Learning Tasks
tanjascats/ML-teaching-materials
Collection of resources for teaching Machine Learning lectures with an emphasis on interactive demos of ML algorithms
tanjascats/k-Anonymity-benchmark
Benchmarking k-anonymity methods.
tanjascats/NCorr-FP
tanjascats/nn-fingerprinting-scheme
A correlation-preserving fingerprinting technique for categorical data in tabular datasets based of nearest-neighbourhood search.
tanjascats/playground
A Streamlit application to play with machine learning models directly from the browser
tanjascats/SaNGreeA-anonymisation
Anonymization using the SaNGreeA algorithm
tanjascats/tanjascats.github.io
Home page for Tanja Sarcevic