ML Anthology

Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning

Devinder Kumar, Ibrahim Ben Daya, Kanav Vats, Jeffery Feng, Graham W. Taylor, Alexander Wong
CVPRW 2019 pp. 16-19
/cvprw/2019/kumar2019cvprw-beyond/
CVPRW Semantic Scholar

Cite

Text

Kumar et al. "Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2019.

Markdown

[Kumar et al. "Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2019.](https://mlanthology.org/cvprw/2019/kumar2019cvprw-beyond/)

BibTeX

@inproceedings{kumar2019cvprw-beyond,
  title     = {{Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning}},
  author    = {Kumar, Devinder and Daya, Ibrahim Ben and Vats, Kanav and Feng, Jeffery and Taylor, Graham W. and Wong, Alexander},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2019},
  pages     = {16-19},
  url       = {https://mlanthology.org/cvprw/2019/kumar2019cvprw-beyond/}
}