Secure, privacy-preserving and federated machine learning in medical imaging
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 …
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
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 …
research in every aspect of life including the health care domain. However, privacy risks and …
Membership inference attacks from first principles
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 …
model to predict whether or not a particular example was contained in the model's training …