Publikationen
Wissenschaftliche Veröffentlichungen und Beiträge aus dem Forschungsnetzwerk Anonymisierung.
2026
Non-omniscient backdoor injection with one poison sample: Proving the one-poison hypothesis for linear regression, linear classification, and 2-layer ReLU neural networks
Authors
Thorsten Peinemann and Paula Arnold and Sebastian Berndt and Thomas Eisenbarth and Esfandiar Mohammadi
Lifted Model Construction without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs
Malte Luttermann and Ralf Möller and Marcel Gehrke
2025
Compression Versus Accuracy: A Hierarchy of Lifted Models
Jan Speller and Malte Luttermann and Marcel Gehrke and Tanya Braun
2025
StaRAI: From a Probabilistic Propositional Model to a Highly Compressed Probabilistic Relational Model (Extended Abstract)
Marcel Gehrke and Malte Luttermann
2025
conferencepublished
CHAI+FCR 2025 Humanities-Centred Artificial Intelligence 2025 and Formal & Cognitive Reasoning 2025
2025Humanities-Centred Artificial Intelligence 2025 and Formal & Cognitive Reasoning 2025
Jan Speller and Malte Luttermann and Marcel Gehrke and Tanya Braun
conferencepublished
Approximate Lifted Model Construction
2025Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, {IJCAI-25}
Malte Luttermann and Jan Speller and Marcel Gehrke and Tanya Braun and Ralf Möller and Mattis Hartwig
techreportpublished
Improving Statistical Privacy by Subsampling
2025
Dennis Breutigam and Rüdiger Reischuk
miscpublished
AnonyPyx: A Python Library for Data Anonymization
2025
Niklas Zapatka and Taisuke Fujita
techreportpublished
Short Summary of Syntactic Privacy
2025
Niklas Zapatka and Joshua Stock and Hannes Federrath and Jens Lindemann
miscpublished
DP-HYPE: Distributed Differentially Private Hyperparameter Search
2025
Johannes Liebenow and Thorsten Peinemann and Esfandiar Mohammadi
incollectionpublished
The AI Act and Some Implications for Developing AI-Based Systems
2025Lecture Notes in Computer Science
Martin Leucker
unpublishedpublished
MammothDP: Differentially Private Boosted Decision Trees, Hyperparameter-Free and Ready for Trusted Hardware
2025
Moritz Kirschte and Thorsten Peinemann and Kari Kostiainen and Jan Wichelmann and Thomas Eisenbarth and Esfandiar Mohammadi
articlepublished
Optimizing Systolic Array-based NTT Accelerators
2025Authorea Preprints, Accepted to IEEE Embedded Systems Letters
Saleh Mulhem and Eike Schultz and Lukas Groth and Mladen Berekovic and Rainer Buchty
inproceedingspublished
Bag-Level Multiple Instance Learning for Acute Stress Detection from Video Data
2025Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF, 2025
Nele Sophie Brügge and Alexandra Korda and Stefan Borgwardt and Christina Andreou and Giorgos Giannakakis and Heinz Handels
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