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"Do Users fall for Real Adversarial Phishing?" Investigating the Human
  response to Evasive Webpages

"Do Users fall for Real Adversarial Phishing?" Investigating the Human response to Evasive Webpages

28 November 2023
Ajka Draganovic
Savino Dambra
Javier Aldana-Iuit
Kevin A. Roundy
Giovanni Apruzzese
ArXiv (abs)PDFHTML

Papers citing ""Do Users fall for Real Adversarial Phishing?" Investigating the Human response to Evasive Webpages"

3 / 3 papers shown
Title
PhishLang: A Real-Time, Fully Client-Side Phishing Detection Framework Using MobileBERT
PhishLang: A Real-Time, Fully Client-Side Phishing Detection Framework Using MobileBERT
Sayak Saha Roy
Shirin Nilizadeh
107
0
0
11 Aug 2024
From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks
From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks
Aditya Kulkarni
Vivek Balachandran
D. Divakaran
Tamal Das
AAML
123
5
0
29 Jul 2024
The Adversarial AI-Art: Understanding, Generation, Detection, and
  Benchmarking
The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking
Yuying Li
Zeyan Liu
Junyi Zhao
Liangqin Ren
Fengjun Li
Jiebo Luo
Bo Luo
137
1
0
22 Apr 2024
1