Combining Variational Autoencoders and Transformer Language Models for Improved Password Generation-Reference-Cited by-同舟云学术

Combining Variational Autoencoders and Transformer Language Models for Improved Password Generation

Published:2022-08-23 Issue: Volume: Page:
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Container-title:Proceedings of the 17th International Conference on Availability, Reliability and Security
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Author:

Biesner David¹,Cvejoski Kostadin¹,Sifa Rafet²

Affiliation:

1. Fraunhofer IAIS, Germany and University of Bonn, Germany

2. Fraunhofer IAIS, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3538969.3539000

Reference37 articles.

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2. Advances in Password Recovery Using Generative Deep Learning Techniques

3. Katha Chanda . 2016 . Password Security: An Analysis of Password Strengths and Vulnerabilities. International Journal of Computer Network and Information Security 8 (07 2016), 23–30. Katha Chanda. 2016. Password Security: An Analysis of Password Strengths and Vulnerabilities. International Journal of Computer Network and Information Security 8 (07 2016), 23–30.

4. Zihang Dai Zhilin Yang 2019. Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context. CoRR abs/1901.02860(2019). arXiv:1901.02860 Zihang Dai Zhilin Yang 2019. Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context. CoRR abs/1901.02860(2019). arXiv:1901.02860

5. Password Strength: An Empirical Analysis

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