1. Communication-Efficient Learning of Deep Networks from Decentralized Data;McMahan
2. Inverting gradients - how easy is it to break privacy in federated learning?;Geiping
3. The secret sharer: Evaluating and testing unintended memorization in neural networks;Carlini
4. Reconstructing training data from trained neural networks;Haim
5. Improving the gaussian mechanism for differential privacy: Analytical calibration and optimal denoising;Balle