ML-AIM Machine Learning and Artificial Intelligence for Medicine

Research Laboratory led by Prof. Mihaela van der Schaar

    Privacy-Preserving ML & Synthetic Data


  1. J. Jordon, J. Yoon, M. van der Schaar, "Differentially Private Bagging: Improved Utility and Cheaper Privacy than Subsample-and-Aggregate," Neural Information Processing Systems (NeurIPS), 2019.
  2. J. Yoon, D. Jarrett, M. van der Schaar, "Time-series Generative Adversarial Networks," Neural Information Processing Systems (NeurIPS), 2019.
  3. J. Yoon, J. Jordon, M. van der Schaar, "PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees," International Conference on Learning Representations (ICLR), 2019. [Link]
  4. J. Jordon, J. Yoon, M. van der Schaar, "Measuring the quality of Synthetic data for use in competitions," 2018 KDD Workshop on Machine Learning for Medicine and Healthcare, 2018. [Link]