Fast, lean and accurate: Modeling password guessability using neural networks (bibtex)
by William Melicher, Blase Ur, Sean M. Segreti, Saranga Komanduri, Lujo Bauer, Nicolas Christin, Lorrie Faith Cranor
Reference:
Fast, lean and accurate: Modeling password guessability using neural networks.W. Melicher, B. Ur, S. M. Segreti, S. Komanduri, L. Bauer, N. Christin and L. F. Cranor. Proceedings of the 25th USENIX conference on Security symposium (USENIX Security 2016). Austin, TX: USENIX Association. 2016. pp. 175-191.Acceptance rate: 15.4% (72/468)Best Paper Award.
Bibtex Entry:
@inproceedings{MelicherUSENIX2016,
  author={Melicher, William and Ur, Blase and Segreti, Sean M. and Komanduri, Saranga and Bauer, Lujo and Christin, Nicolas and Cranor, Lorrie Faith},
  title={Fast, lean and accurate: Modeling password guessability using neural networks},
  booktitle = {Proceedings of the 25th USENIX conference on Security symposium},
  series = {USENIX Security '16},
  year = {2016},
  month = Aug,
  url = {https://www.usenix.org/system/files/conference/usenixsecurity16/sec16_paper_melicher.pdf},
  publisher = {USENIX Association},
  isbn = {978-1-931971-32-4},
  address = {Austin, TX},
  pages = {175--191},
  gsid = {2689462620008549480},
  acceptancerate = {72/468},
  comment = {<span class="pubhighlight"><br/><b>Best Paper Award</b></span>}
}
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