Training Differentially Private Graph Neural Networks with Random Walk Sampling

Morgane Ayle, Jan Schuchardt, Lukas Gosch +2

Deep learning models are known to put the privacy of their training data at risk, which poses challenges for their safe and ethical release to the public. Differentially private st…