Maja Schneider
About
- Since April 2020 research assistant at ScaDS.AI
- M.Sc. Computer Science, University of Leipzig, 2020
- Expert Network Control Analyst, DHL Hub Leipzig GmbH, 2012 - 2014
- Dispatch and Inbound Specialist, TNT Express, 2008 - 2012
- Diploma in Mathematics, HTWK Leipzig, 2008
Research Interests
- Privacy-preserving Machine Learning
- Privacy-Preserving Data Publishing
- Location Privacy
- Deep Learning
- Generative adversarial networks
Contact
- E-Mail: mschneider at informatik.uni-leipzig.de
- Office: ScaDS.AI 3.33
- Phone: +49 341 97-39321
Publications
Thesis Supervision
Type | Name | Titel | Year | Status |
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B. Sc. | Erik Rötschke | Entwicklung einer Android App zur Messung und Visualisierung des Privatsphäre-Leaks durch Standortabfragen von Smartphone-Apps | 2023 | Ongoing | B. Sc. | Matthias Mohn | Erstellung synthetischer Standortverläufe aus historischen Traveldiaries | 2023 | Ongoing | B. Sc. | Bjarne Weers | Re-Identifizierung von Personen anhand ihrer Points of interest | 2023 | Ongoing | B. Sc. | Nagham Haji Darwish | Anomalieerkennung in Geodaten mit AutoEncodern | 2023 | Ongoing | B. Sc. | Richard Zimmermann | Privatsphäre-erhaltende Publikation von NextBike-Fahrradleihdaten mit Fokus auf Identitätsschutz | 2023 | Ongoing | B. Sc. | Chris Emmerich | Verbesserung der Erkennung interessanter Punkte in Standortverläufen durch Analyse der Semantik | 2023 | Ongoing | M. Sc. | Michael Koch | Privatsphäre-erhaltende Vorhersage der Überlebenszeiten von Magenkrebspatienten | 2022 | Finished | M. Sc. | Lucas Lange | Privacy-Preserving Detection of COVID-19 in X-Ray Images | 2022 | Finished | M. Sc. | Aruscha Kramm | Privatsphäre-erhaltende Analyse des Fahrradklimas in Leipzig | 2021 | Finished | M. Sc. | Paul Muschiol | Development of an Audio-Classifier for Urban Sounds under consideration of the PATE framework | 2021 | Finished |
Open Theses
Have a look at our thesis proposals or contact me with your own ideas.
Job offers
I am looking for research assistants (SHK/WHK). If you are interested in privacy protection/attacks, Machine Learning and Python programming, contact me.
Teaching
Seminars
Labs
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