Interpretable Probabilistic Password Strength Meters via Deep Learning

Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi. Interpretable Probabilistic Password Strength Meters via Deep Learning. In Liqun Chen, Ninghui Li, Kaitai Liang, Steve A. Schneider, editors, Computer Security - ESORICS 2020 - 25th European Symposium on Research in Computer Security, ESORICS 2020, Guildford, UK, September 14-18, 2020, Proceedings, Part I. Volume 12308 of Lecture Notes in Computer Science, pages 502-522, Springer, 2020. [doi]

@inproceedings{PasquiniAB20,
  title = {Interpretable Probabilistic Password Strength Meters via Deep Learning},
  author = {Dario Pasquini and Giuseppe Ateniese and Massimo Bernaschi},
  year = {2020},
  doi = {10.1007/978-3-030-58951-6_25},
  url = {https://doi.org/10.1007/978-3-030-58951-6_25},
  researchr = {https://researchr.org/publication/PasquiniAB20},
  cites = {0},
  citedby = {0},
  pages = {502-522},
  booktitle = {Computer Security - ESORICS 2020 - 25th European Symposium on Research in Computer Security, ESORICS 2020, Guildford, UK, September 14-18, 2020, Proceedings, Part I},
  editor = {Liqun Chen and Ninghui Li and Kaitai Liang and Steve A. Schneider},
  volume = {12308},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-58951-6},
}