On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint)

Kumar et al. "On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint)." International Joint Conference on Artificial Intelligence, 2024.

[Kumar et al. "On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint)." International Joint Conference on Artificial Intelligence, 2024.](https://mlanthology.org/ijcai/2024/kumar2024ijcai-mitigating/)

@inproceedings{kumar2024ijcai-mitigating,
  title     = {{On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint)}},
  author    = {Kumar, Mohit and Moser, Bernhard Alois and Fischer, Lukas},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {8480},
  url       = {https://mlanthology.org/ijcai/2024/kumar2024ijcai-mitigating/}
}