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"Are Adversarial Phishing Webpages a Threat in Reality?" Understanding
  the Users' Perception of Adversarial Webpages

"Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages

3 April 2024
Ying Yuan
Qingying Hao
Giovanni Apruzzese
Mauro Conti
Gang Wang
    AAML
ArXivPDFHTML

Papers citing ""Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages"

3 / 3 papers shown
Title
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
29
4
0
29 Jul 2024
Machine Learning Security in Industry: A Quantitative Survey
Machine Learning Security in Industry: A Quantitative Survey
Kathrin Grosse
L. Bieringer
Tarek R. Besold
Battista Biggio
Katharina Krombholz
27
31
0
11 Jul 2022
Towards Benchmark Datasets for Machine Learning Based Website Phishing
  Detection: An experimental study
Towards Benchmark Datasets for Machine Learning Based Website Phishing Detection: An experimental study
Abdelhakim Hannousse
Salima Yahiouche
32
65
0
24 Oct 2020
1