Noise-Aware Differentially Private Regression via Meta-Learning

This is the repository for differentially private convolutional conditional neural process (DPConvCNP) model presented in the paper Noise-Aware Differentially Private Regression via Meta-Learning (NeurIPS 2024).

Citation

To acknowledge the repository or paper, please cite

@inproceedings{raisaNoiseAwareDifferentiallyPrivate2024,
 author = {R\"{a}is\"{a}, Ossi and Markou, Stratis and Ashman, Matthew and Bruinsma, Wessel P. and Tobaben, Marlon and Honkela, Antti and Turner, Richard E.},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang},
 pages = {63873--63907},
 publisher = {Curran Associates, Inc.},
 title = {Noise-Aware Differentially Private Regression via Meta-Learning},
 url = {https://proceedings.neurips.cc/paper_files/paper/2024/file/74fa9e6bc36aa567fe7cf002b733a30d-Paper-Conference.pdf},
 volume = {37},
 year = {2024}
}