tanjascats Goto Github PK

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

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

ml-teaching-materials

Collection of resources for teaching Machine Learning lectures with an emphasis on interactive demos of ML algorithms

nn-fingerprinting-scheme

A correlation-preserving fingerprinting technique for categorical data in tabular datasets based of nearest-neighbourhood search.

playground

A Streamlit application to play with machine learning models directly from the browser

sangreea

Anonymization using the SaNGreeA algorithm

tanjascats.github.io

Home page for Tanja Sarcevic