An Improved Transformer-based Model for Detecting Phishing, Spam, and Ham: A Large Language Model Approach

1 November 2023

Papers citing "An Improved Transformer-based Model for Detecting Phishing, Spam, and Ham: A Large Language Model Approach"

9 / 9 papers shown

Title
A Comprehensive Analysis of Adversarial Attacks against Spam Filters Esra Hotoğlu Sevil Sen Burcu Can AAML 19 0 0 04 May 2025
On the Feasibility of Fully AI-automated Vishing Attacks João Figueiredo Afonso Carvalho Daniel Castro Daniel Gonçalves Nuno Santos 27 2 0 20 Sep 2024
A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions Mohammed Hassanin Nour Moustafa 36 26 0 23 May 2024
ExplainableDetector: Exploring Transformer-based Language Modeling Approach for SMS Spam Detection with Explainability Analysis Mohammad Amaz Uddin Muhammad Nazrul Islam Leandros A. Maglaras Helge Janicke Iqbal H. Sarker 37 2 0 12 May 2024
Large Language Models for Cyber Security: A Systematic Literature Review HanXiang Xu Shenao Wang Ningke Li K. Wang Yanjie Zhao Kai Chen Ting Yu Yang Janet Liu H. Wang 29 23 0 08 May 2024
When LLMs Meet Cybersecurity: A Systematic Literature Review Jie Zhang Haoyu Bu Hui Wen Yu Chen Lun Li Hongsong Zhu 26 36 0 06 May 2024
An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approach Mohammad Amaz Uddin Iqbal H. Sarker 30 14 0 21 Feb 2024
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly Yifan Yao Jinhao Duan Kaidi Xu Yuanfang Cai Eric Sun Yue Zhang PILM ELM 29 473 0 04 Dec 2023
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 282 1,523 0 27 Feb 2021