Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations

Jon Vadillo, Roberto Santana, José Antonio Lozano. Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations. In Giuseppe Nicosia, Varun Kumar Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton, editors, Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II. Volume 12566 of Lecture Notes in Computer Science, pages 215-227, Springer, 2020. [doi]

@inproceedings{VadilloSL20,
  title = {Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations},
  author = {Jon Vadillo and Roberto Santana and José Antonio Lozano},
  year = {2020},
  doi = {10.1007/978-3-030-64580-9_18},
  url = {https://doi.org/10.1007/978-3-030-64580-9_18},
  researchr = {https://researchr.org/publication/VadilloSL20},
  cites = {0},
  citedby = {0},
  pages = {215-227},
  booktitle = {Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II},
  editor = {Giuseppe Nicosia and Varun Kumar Ojha and Emanuele La Malfa and Giorgio Jansen and Vincenzo Sciacca and Panos M. Pardalos and Giovanni Giuffrida and Renato Umeton},
  volume = {12566},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-64580-9},
}