SePass: Semantic Password Guessing Using k-nn Similarity Search in Word Embeddings

Maximilian Hünemörder, Levin Schäfer, Nadine Sarah Schüler, Michael Eichberg, Peer Kröger. SePass: Semantic Password Guessing Using k-nn Similarity Search in Word Embeddings. In Weitong Chen, Lina Yao 0001, Taotao Cai, Shirui Pan, Tao Shen, Xue Li 0001, editors, Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part II. Volume 13726 of Lecture Notes in Computer Science, pages 28-42, Springer, 2022. [doi]

@inproceedings{HunemorderSSEK22,
  title = {SePass: Semantic Password Guessing Using k-nn Similarity Search in Word Embeddings},
  author = {Maximilian Hünemörder and Levin Schäfer and Nadine Sarah Schüler and Michael Eichberg and Peer Kröger},
  year = {2022},
  doi = {10.1007/978-3-031-22137-8_3},
  url = {https://doi.org/10.1007/978-3-031-22137-8_3},
  researchr = {https://researchr.org/publication/HunemorderSSEK22},
  cites = {0},
  citedby = {0},
  pages = {28-42},
  booktitle = {Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part II},
  editor = {Weitong Chen and Lina Yao 0001 and Taotao Cai and Shirui Pan and Tao Shen and Xue Li 0001},
  volume = {13726},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-22137-8},
}