14 citations · 36 across the 6 of their papers we have counts for
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cs.CR2023★ 11 cited
Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors
Biagio Montaruli, Luca Demetrio, Maura Pintor +3
Machine-learning phishing webpage detectors (ML-PWD) have been shown to suffer from adversarial manipulations of the HTML code of the input webpage. Nevertheless, the attacks recen…
cs.LG2023★ 14 cited
ModSec-AdvLearn: Countering Adversarial SQL Injections with Robust Machine Learning
Giuseppe Floris, Christian Scano, Biagio Montaruli +7
Many Web Application Firewalls (WAFs) leverage the OWASP CRS to block incoming malicious requests. The CRS consists of different sets of rules designed by domain experts to detect…