Reliability of eXplainable Artificial Intelligence in Adversarial Perturbation Scenarios

Antonio Galli, Stefano Marrone 0002, Vincenzo Moscato, Carlo Sansone. Reliability of eXplainable Artificial Intelligence in Adversarial Perturbation Scenarios. In Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei 0001, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani, editors, Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part III. Volume 12663 of Lecture Notes in Computer Science, pages 243-256, Springer, 2020. [doi]

@inproceedings{Galli0MS20,
  title = {Reliability of eXplainable Artificial Intelligence in Adversarial Perturbation Scenarios},
  author = {Antonio Galli and Stefano Marrone 0002 and Vincenzo Moscato and Carlo Sansone},
  year = {2020},
  doi = {10.1007/978-3-030-68796-0_18},
  url = {https://doi.org/10.1007/978-3-030-68796-0_18},
  researchr = {https://researchr.org/publication/Galli0MS20},
  cites = {0},
  citedby = {0},
  pages = {243-256},
  booktitle = {Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part III},
  editor = {Alberto Del Bimbo and Rita Cucchiara and Stan Sclaroff and Giovanni Maria Farinella and Tao Mei 0001 and Marco Bertini and Hugo Jair Escalante and Roberto Vezzani},
  volume = {12663},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-68796-0},
}