Secure, privacy-preserving and federated machine learning in medical imaging

GA Kaissis, MR Makowski, D Rückert… - Nature Machine …, 2020 - nature.com
The broad application of artificial intelligence techniques in medicine is currently hindered
by limited dataset availability for algorithm training and validation, due to the absence of …

Synthetic data generation: State of the art in health care domain

H Murtaza, M Ahmed, NF Khan, G Murtaza… - Computer Science …, 2023 - Elsevier
Recent progress in artificial intelligence and machine learning has led to the growth of
research in every aspect of life including the health care domain. However, privacy risks and …

Membership inference attacks from first principles

N Carlini, S Chien, M Nasr, S Song… - … IEEE Symposium on …, 2022 - ieeexplore.ieee.org
A membership inference attack allows an adversary to query a trained machine learning
model to predict whether or not a particular example was contained in the model's training …