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Raze to the Ground: Query-Efficient Adversarial HTML Attacks on
  Machine-Learning Phishing Webpage Detectors

Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors

4 October 2023
Biagio Montaruli
Luca Demetrio
Maura Pintor
Luca Compagna
Davide Balzarotti
Battista Biggio
    AAML
ArXivPDFHTML

Papers citing "Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors"

2 / 2 papers shown
Title
A Large Scale Study and Classification of VirusTotal Reports on Phishing
  and Malware URLs
A Large Scale Study and Classification of VirusTotal Reports on Phishing and Malware URLs
Euijin Choo
Mohamed Nabeel
Ravindu De Silva
Tingyue Yu
Issa M. Khalil
14
15
0
26 May 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