IEEE Conference on Secure and Trustworthy Machine Learnin… · 2022 · Conference paper

Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks

Tilman Räuker, Anson Ho, Stephen Casper, Dylan Hadfield-Menell

Epoch Biosciences (United States) · MIT Computer Science and Artificial Intelligence Laboratory

Published in
2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
Date
2023-02-01
Citations
200
arXiv
2207.13243
Cite
@inproceedings{ruker2022toward,
  title = {Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks},
  author = {Tilman Räuker and Anson Ho and Stephen Casper and Dylan Hadfield-Menell},
  year = {2022},
  booktitle = {2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)},
  eprint = {2207.13243},
  archivePrefix = {arXiv},
  doi = {10.1109/SaTML54575.2023.00039},
  url = {https://arxiv.org/abs/2207.13243},
}