Semantic Scholar Open Access 2019 4 sitasi

Deep Learning vs. Traditional Probabilistic Models: Case Study on Short Inputs for Password Guessing

Yu Linghu Xiangxue Li Zhenlong Zhang

Topik & Kata Kunci

Penulis (3)

Y

Yu Linghu

X

Xiangxue Li

Z

Zhenlong Zhang

Format Sitasi

Linghu, Y., Li, X., Zhang, Z. (2019). Deep Learning vs. Traditional Probabilistic Models: Case Study on Short Inputs for Password Guessing. https://doi.org/10.1007/978-3-030-38991-8_31

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Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.1007/978-3-030-38991-8_31
Akses
Open Access ✓