FGPass: Feature-guided targeted password guessing with gated fine-tuning strategy.
- DOI
- 10.1016/j.neunet.2026.109646
- Published
- 2026 Sep 19
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109646,
title = {FGPass: Feature-guided targeted password guessing with gated fine-tuning strategy.},
author = {Tang X and Peng W and Zhao T and Wei Z and Wu Q and He Z},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109646},
url = {https://doi.org/10.1016/j.neunet.2026.109646}
}RIS
TY - JOUR TI - FGPass: Feature-guided targeted password guessing with gated fine-tuning strategy. AU - Tang X AU - Peng W AU - Zhao T AU - Wei Z AU - Wu Q AU - He Z PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109646 UR - https://doi.org/10.1016/j.neunet.2026.109646 ER -
APA
X, T., W, P., T, Z., Z, W., Q, W., & Z, H. (2026). FGPass: Feature-guided targeted password guessing with gated fine-tuning strategy.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109646
Source records
- pubmed · retrieved 2026-09-25T19:38:12.203Z