Towards Background and Foreground Color Robustness with Adversarial Right for the Right Reasons. Santos, F. A. O., de Souza, M. D., & Zanchettin, C. In Iliadis, L., Papaleonidas, A., Angelov, P., & Jayne, C., editors, Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part V, volume 14258, of Lecture Notes in Computer Science, pages 169–180, 2023. Springer.
Towards Background and Foreground Color Robustness with Adversarial Right for the Right Reasons [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/icann/SantosSZ23,
  author       = {Fl{\'{a}}vio Arthur O. Santos and
                  Maynara Donato de Souza and
                  Cleber Zanchettin},
  editor       = {Lazaros Iliadis and
                  Antonios Papaleonidas and
                  Plamen Angelov and
                  Chrisina Jayne},
  title        = {Towards Background and Foreground Color Robustness with Adversarial
                  Right for the Right Reasons},
  booktitle    = {Artificial Neural Networks and Machine Learning - {ICANN} 2023: 32nd
                  International Conference on Artificial Neural Networks, Heraklion,
                  Crete, Greece, September 26-29, 2023, Proceedings, Part {V}},
  series       = {Lecture Notes in Computer Science},
  volume       = {14258},
  pages        = {169--180},
  publisher    = {Springer},
  year         = {2023},
  url          = {https://doi.org/10.1007/978-3-031-44192-9\_14},
  doi          = {10.1007/978-3-031-44192-9\_14},
  timestamp    = {Sun, 06 Oct 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/icann/SantosSZ23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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