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Fang Yu

4 papers hereh-index 5183 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CR2
  • cs.AI1
  • cs.CL1
same name
  • Fang Yu — 8 papers, h 1
  • Fang Yu — 4 papers, h 9
  • Fang Yu — 3 papers, h 0
  • Fang Yu — 2 papers, h 8
  • Fang Yu — 2 papers, h 3
  • Fang Yu — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedLegal Prompting: Teaching a Language Model to Think Like a Lawyer

34 citations · 58 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2022★ 34 cited

Legal Prompting: Teaching a Language Model to Think Like a Lawyer

Fangyi Yu, Lee Quartey, Frank Schilder

Large language models that are capable of zero or few-shot prompting approaches have given rise to the new research area of prompt engineering. Recent advances showed that for exam…

cs.AI2022★ 3 cited

Targeted Honeyword Generation with Language Models

Fangyi Yu, Miguel Vargas Martin

Honeywords are fictitious passwords inserted into databases in order to identify password breaches. The major difficulty is how to produce honeywords that are difficult to distingu…

cs.CR2022★ 18 cited

GNPassGAN: Improved Generative Adversarial Networks For Trawling Offline Password Guessing

Fangyi Yu, Miguel Vargas Martin

The security of passwords depends on a thorough understanding of the strategies used by attackers. Unfortunately, real-world adversaries use pragmatic guessing tactics like diction…

cs.CR2022★ 3 cited

On Deep Learning in Password Guessing, a Survey

Fangyi Yu

The security of passwords is dependent on a thorough understanding of the strategies used by attackers. Unfortunately, real-world adversaries use pragmatic guessing tactics like di…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.