ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2405.20611
  4. Cited By
Bi-Directional Transformers vs. word2vec: Discovering Vulnerabilities in
  Lifted Compiled Code

Bi-Directional Transformers vs. word2vec: Discovering Vulnerabilities in Lifted Compiled Code

31 May 2024
Gary A. McCully
John D. Hastings
Shengjie Xu
Adam Fortier
ArXivPDFHTML

Papers citing "Bi-Directional Transformers vs. word2vec: Discovering Vulnerabilities in Lifted Compiled Code"

2 / 2 papers shown
Title
Comparing Unidirectional, Bidirectional, and Word2vec Models for Discovering Vulnerabilities in Compiled Lifted Code
Comparing Unidirectional, Bidirectional, and Word2vec Models for Discovering Vulnerabilities in Compiled Lifted Code
Gary A. McCully
John D. Hastings
Shengjie Xu
Adam Fortier
41
2
0
26 Sep 2024
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,244
0
16 Jan 2013
1