47 citations · 68 across the 4 of their papers we have counts for
5 papers
Closing Gaps: An Imputation Analysis of ICU Vital Signs
Alisher Turubayev, Anna Shopova, Fabian Lange +6
As more Intensive Care Unit (ICU) data becomes available, the interest in developing clinical prediction models to improve healthcare protocols increases. However, the lack of data…
DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder
Bjarne Pfitzner, Bert Arnrich
Federated learning (FL) is getting increased attention for processing sensitive, distributed datasets common to domains such as healthcare. Instead of directly training classificat…
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data
Joceline Ziegler, Bjarne Pfitzner, Heinrich Schulz +2
Privacy regulations and the physical distribution of heterogeneous data are often primary concerns for the development of deep learning models in a medical context. This paper eval…
Implicit Model Specialization through DAG-based Decentralized Federated Learning
Jossekin Beilharz, Bjarne Pfitzner, Robert Schmid +3
Federated learning allows a group of distributed clients to train a common machine learning model on private data. The exchange of model updates is managed either by a central enti…
Poisoning Attacks with Generative Adversarial Nets
Luis Muñoz-González, Bjarne Pfitzner, Matteo Russo +2
Machine learning algorithms are vulnerable to poisoning attacks: An adversary can inject malicious points in the training dataset to influence the learning process and degrade the…