Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning

Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein. Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning. In Zhi-Hua Zhou, editor, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021. pages 3176-3184, ijcai.org, 2021. [doi]

@inproceedings{WeerasingheAAEL21,
  title = {Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning},
  author = {Sandamal Weerasinghe and Tamas Abraham and Tansu Alpcan and Sarah M. Erfani and Christopher Leckie and Benjamin I. P. Rubinstein},
  year = {2021},
  doi = {10.24963/ijcai.2021/437},
  url = {https://doi.org/10.24963/ijcai.2021/437},
  researchr = {https://researchr.org/publication/WeerasingheAAEL21},
  cites = {0},
  citedby = {0},
  pages = {3176-3184},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021},
  editor = {Zhi-Hua Zhou},
  publisher = {ijcai.org},
}