Maja Schneider

15 papers B 1C 4Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
Can Knowledge of Demographics and Privacy Parameters Break Location Privacy?
ICISSP (1)
Maja Schneider, Charini Nanayakkara, Peter Christen, Erik Buchmann, Erhard Rahm
2025 C conf
Generating Semantically Enriched Mobility Data from Travel Diaries.
ADBIS
Maja Schneider, Charini Nanayakkara, Matthias Mohn, Peter Christen, Erhard Rahm
2024 — conf
Distributed, Privacy-Aware Location Data Aggregation.
TPS-ISA
Maja Schneider, Erik Buchmann, Erhard Rahm
2023 J jnl
Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data.
CoRR
Valentin Barrière, Martin Claverie, Maja Schneider, Guido Lemoine, Raphaël d'Andrimont
2023 J jnl
EuroCrops: All you need to know about the Largest Harmonised Open Crop Dataset Across the European Union.
CoRR
Maja Schneider, Tobias Schelte, Felix Schmitz, Marco Körner
2023 J jnl
Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type Monitoring.
CoRR
Maja Schneider, Marco Körner
2023 C conf
Privacy in Practice: Private COVID-19 Detection in X-Ray Images.
SECRYPT
Lucas Lange, Maja Schneider, Peter Christen, Erhard Rahm
2023 B conf
Tuning the Utility-Privacy Trade-Off in Trajectory Data.
EDBT
Maja Schneider, Peter Christen, Erhard Rahm, Jonathan Schneider, Lea Löffelmann
2023 C conf
XAI for Early Crop Classification.
IGARSS
Ayshah Chan, Maja Schneider, Marco Körner
2023 J jnl
XAI for Early Crop Classification.
CoRR
Ayshah Chan, Maja Schneider, Marco Körner
2022 J jnl
Challenges and Opportunities of Large Transnational Datasets: A Case Study on European Administrative Crop Data.
CoRR
Maja Schneider, Christian Marchington, Marco Körner
2022 — conf
D-TOUR: Detour-based point of interest detection in privacy-sensitive trajectories.
GI-Jahrestagung
Maja Schneider, Lukas Gehrke, Peter Christen, Erhard Rahm
2022 C conf
Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type Monitoring.
IGARSS
Maja Schneider, Marco Körner
2022 J jnl
Privacy in Practice: Private COVID-19 Detection in X-Ray Images.
CoRR
Lucas Lange, Maja Schneider, Erhard Rahm
2021 J jnl
EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification.
CoRR
Maja Schneider, Amelie Broszeit, Marco Körner
requirements.txt
← Index requirements.txt plaintext 
asn1crypto==1.5.1
dotnetfile==0.2.4
elasticsearch==8.15.0
magika==1.0.1
modules==1.0.0
pefile==2023.2.7
py7zr==0.22.0
python-magic==0.4.27
pyzipper==0.3.6
py-tlsh==4.7.2
bitstring==4.2.3
Pillow==10.4.0
setuptools==75.1.0
ppdeep==20200505
cryptography==43.0.3
flare-floss==3.1.1
#stringsifter==3.20230711
signify==0.7.1
yara-x==1.9.0
xxhash==3.6.0
git+https://github.com/wbond/oscrypto.git@1547f535001ba568b239b8797465536759c742a3
pycryptodomex==3.20.0
redis==6.4.0
clickhouse-connect==0.8.13
minio==7.2.15
requests==2.33.1
pyelftools==0.32
python-dotenv
psutil
numpy
mmh3
blake3
machofile==2026.02.10
lief==0.17.3
androguard>=4.1
permhash
jsbeautifier>=1.14.0
chardet==7.4.1
pyjsparser>=2.7.1

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