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PGMaP: Password generation based on mask prediction

delete2026-02-02
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PRE
AI
C
Chenyang Wang
F
Fan Shi
S
Shasha Guo
M
Min Zhang *
Y
Yi Shen
C
Chengxi Xu
P
Pengfei Xue
DOI:10.1016/j.eswa.2026.131318delete
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Abstract

Abstract

En 中文
• Generating omitted passwords using bi-directional information. • First exploration of self-encoding models for large-scale password generation. • Learning bi-directional features using the masked language model. • The proposed method greatly improves the password cracking rate.
Keywords:
password generation
masked language model
bi-directional features
password cracking
self-encoding models

Journal

Expert Systems with Applications cover
Expert Systems with Applications
IF:
7.5
Papers:
2.9W
Citations:
10.2W

Organization

No organization information available