Seminar Presentations
Präsentationen und Vorträge aus unseren Seminaren.
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23. April 2026
Federated and Differentially Private Hyperparameter Search
Speaker
Johannes Liebenow
"Selecting the correct hyperparameters can significantly impact the performance of a federated learning model. However, since these choices are evaluated using sensitive client data, adjusting them can result in the leakage of private information. Our algorithm DP-Hype successfully identifies optimal hyperparameters while safeguarding the privacy of participating clients based on Differential Privacy."
VideoSlides
Privacy-Preserving Data Synthesis
09. April 2026
Yara Schütt
VideoSlides
DRAMatic Speedup: Accelerating HE Operations on a Processing-in-Memory System
12. März 2026
Niklas Klinger
VideoSlides
Privacy-Friendliness of Feature Extractors: Empirical Insights, Metrics and Correlations
29. Januar 2026
Nele Brügge
VideoSlides
Answering Many Database Queries With High Privacy and Precision
18. Dezember 2025
Dennis Breutigam
Hardware-accelerated NTT: New Perspective
17. Juni 2025
Saleh Mulhem
Video
Towards a Unification of Reconstruction Attacks on Syntactic Privacy Models
05. Juni 2025
Niklas Zapatka
VideoSlides
Towards Learning Differentially Private Probabilistic Relational Models II
08. Mai 2025
Malte Luttermann
VideoSlides
Towards Learning Differentially Private Probabilistic Relational Models I
24. April 2025
Malte Luttermann
A Tale of Fully-Homomorphic Encryption and its Applications in Healthcare
21. Juni 2024
Saleh Mulhem
Optimizing for Statistical Independence using a KNN Density Estimator
23. Mai 2024
Kathleen Anderson
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