Moritz Knolle

19 papers Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 — conf
Memorisation Bias: AI Predictions for Data Contributors Are Biased Towards Their Health States in the Training Data.
LMID@MICCAI
Moritz Knolle, Martin J. Menten, Daniel Rueckert, Georgios Kaissis, Ben Glocker
2025 J jnl
Sensitivity, Specificity, and Consistency: A Tripartite Evaluation of Privacy Filters for Synthetic Data Generation.
CoRR
Adil Koeken, Alexander Ziller, Moritz Knolle, Daniel Rueckert
2025 J jnl
Visual Privacy Auditing with Diffusion Models.
Trans. Mach. Learn. Res.
Kristian Schwethelm, Johannes Kaiser, Moritz Knolle, Sarah Lockfisch, Daniel Rueckert, Alexander Ziller
2024 J jnl
Memorisation in Machine Learning: A Survey of Results.
Trans. Mach. Learn. Res.
Dmitrii Usynin, Moritz Knolle, Georgios Kaissis
2024 J jnl
Visual Privacy Auditing with Diffusion Models.
CoRR
Kristian Schwethelm, Johannes Kaiser, Moritz Knolle, Daniel Rueckert, Georgios Kaissis, Alexander Ziller
2023 J jnl
(Predictable) Performance Bias in Unsupervised Anomaly Detection.
CoRR
Felix Meissen, Svenja Breuer, Moritz Knolle, Alena Buyx, Ruth Müller, Georgios Kaissis, Benedikt Wiestler, Daniel Rueckert
2023 J jnl
Bias-Aware Minimisation: Understanding and Mitigating Estimator Bias in Private SGD.
CoRR
Moritz Knolle, Robert Dorfman, Alexander Ziller, Daniel Rueckert, Georgios Kaissis
2023 — ch.
Diagnosis.
AI and Big Data in Cardiology
Daniel Rueckert, Moritz Knolle, Nicolas Duchateau, Reza Razavi, Georgios Kaissis
2023 J jnl
SoK: Memorisation in machine learning.
CoRR
Dmitrii Usynin, Moritz Knolle, Georgios Kaissis
2022 J jnl
How Do Input Attributes Impact the Privacy Loss in Differential Privacy?
CoRR
Tamara T. Mueller, Stefan Kolek, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Daniel Rueckert, Georgios Kaissis
2022 J jnl
Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index.
J. Priv. Confidentiality
Georgios Kaissis, Moritz Knolle, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert
2021 J jnl
A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index.
CoRR
Georgios Kaissis, Moritz Knolle, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert
2021 J jnl
An automatic differentiation system for the age of differential privacy.
CoRR
Dmitrii Usynin, Alexander Ziller, Moritz Knolle, Daniel Rueckert, Georgios Kaissis
2021 J jnl
Complex-valued deep learning with differential privacy.
CoRR
Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Kerstin Hammernik, Daniel Rueckert, Georgios Kaissis
2021 J jnl
Differentially private federated deep learning for multi-site medical image segmentation.
CoRR
Alexander Ziller, Dmitrii Usynin, Nicolas Remerscheid, Moritz Knolle, Marcus R. Makowski, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2021 J jnl
Differentially private training of neural networks with Langevin dynamics forcalibrated predictive uncertainty.
CoRR
Moritz Knolle, Alexander Ziller, Dmitrii Usynin, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert, Georgios Kaissis
2021 J jnl
Partial sensitivity analysis in differential privacy.
CoRR
Tamara T. Mueller, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Friederike Jungmann, Daniel Rueckert, Georgios Kaissis
2021 J jnl
Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation.
CoRR
Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Kritika Prakash, Andrew Trask, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert, Georgios Kaissis
2020 J jnl
Efficient, high-performance pancreatic segmentation using multi-scale feature extraction.
CoRR
Moritz Knolle, Georgios Kaissis, Friederike Jungmann, Sebastian Ziegelmayer, Daniel Sasse, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren