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. 2102.11917
  4. Cited By
The Sensitivity of Word Embeddings-based Author Detection Models to
  Semantic-preserving Adversarial Perturbations

The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations

23 February 2021
Jeremiah Duncan
Fabian Fallas
Christopher Gropp
Emily Herron
Maria Mahbub
Paula Olaya
Eduardo Ponce
T. Samuel
D. Schultz
Sudarshan Srinivasan
Maofeng Tang
V. Zenkov
Quan Zhou
Edmon Begoli
    DeLMO
    AAML
ArXivPDFHTML

Papers citing "The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations"

1 / 1 papers shown
Title
Detecting and Characterizing Bots that Commit Code
Detecting and Characterizing Bots that Commit Code
Tapajit Dey
Sara Mousavi
Eduardo Ponce
Tanner Fry
Bogdan Vasilescu
Anna Filippova
A. Mockus
35
79
0
02 Mar 2020
1