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. 2107.06400
  4. Cited By
Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection

Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection

13 July 2021
S. R. Galeano
ArXivPDFHTML

Papers citing "Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection"

4 / 4 papers shown
Title
Conditional Semi-Supervised Data Augmentation for Spam Message Detection
  with Low Resource Data
Conditional Semi-Supervised Data Augmentation for Spam Message Detection with Low Resource Data
U. Nuha
Chih-Hsueh Lin
19
0
0
06 Jul 2024
Zero-Shot Spam Email Classification Using Pre-trained Large Language
  Models
Zero-Shot Spam Email Classification Using Pre-trained Large Language Models
Sergio Rojas Galeano
40
3
0
24 May 2024
Bengali Fake Reviews: A Benchmark Dataset and Detection System
Bengali Fake Reviews: A Benchmark Dataset and Detection System
G. M. Shahariar
Rouf Shawon
F. Shah
Mohammad Shafiul Alam
Md. Shahriar Mahbub
8
4
0
03 Aug 2023
An Empirical Analysis of SMS Scam Detection Systems
An Empirical Analysis of SMS Scam Detection Systems
Muhammad Salman
Muhammad Ikram
M. Kâafar
27
8
0
19 Oct 2022
1