@article{Sucholutsky_Schonlau_2021, title={SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract)}, volume={35}, url={https://ojs.aaai.org/index.php/AAAI/article/view/17945}, DOI={10.1609/aaai.v35i18.17945}, abstractNote={We leverage what are typically considered the worst qualities of deep learning algorithms - high computational cost, requirement for large data, no explainability, high dependence on hyper-parameter choice, overfitting, and vulnerability to adversarial perturbations - in order to create a method for the secure and efficient training of remotely deployed neural networks over unsecure channels.}, number={18}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Sucholutsky, Ilia and Schonlau, Matthias}, year={2021}, month={May}, pages={15897-15898} }