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An Empirical Analysis of SMS Scam Detection Systems

An Empirical Analysis of SMS Scam Detection Systems

19 October 2022
Muhammad Salman
Muhammad Ikram
M. Kâafar
ArXivPDFHTML

Papers citing "An Empirical Analysis of SMS Scam Detection Systems"

4 / 4 papers shown
Title
Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance
Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance
Chen-Wei Chang
Shailik Sarkar
Shutonu Mitra
Qi Zhang
Hossein Salemi
Hemant Purohit
Fengxiu Zhang
Michin Hong
Jin-Hee Cho
Chang-Tien Lu
65
2
0
01 Dec 2024
Smishing Dataset I: Phishing SMS Dataset from Smishtank.com
Smishing Dataset I: Phishing SMS Dataset from Smishtank.com
Daniel Timko
Muhammad Lutfor Rahman
18
6
0
28 Feb 2024
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
S. R. Galeano
27
18
0
13 Jul 2021
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
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