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Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning
24 October 2022
Ying Yuan
Giovanni Apruzzese
Mauro Conti
AAML
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Papers citing
"Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning"
9 / 9 papers shown
Title
Multimodal Large Language Models for Phishing Webpage Detection and Identification
Jehyun Lee
Peiyuan Lim
Bryan Hooi
D. Divakaran
23
4
0
12 Aug 2024
"Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages
Ying Yuan
Qingying Hao
Giovanni Apruzzese
Mauro Conti
Gang Wang
AAML
29
5
0
03 Apr 2024
"Do Users fall for Real Adversarial Phishing?" Investigating the Human response to Evasive Webpages
Ajka Draganovic
Savino Dambra
Javier Aldana-Iuit
Kevin A. Roundy
Giovanni Apruzzese
10
6
0
28 Nov 2023
Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors
Biagio Montaruli
Luca Demetrio
Maura Pintor
Luca Compagna
Davide Balzarotti
Battista Biggio
AAML
6
5
0
04 Oct 2023
Attacking logo-based phishing website detectors with adversarial perturbations
Jehyun Lee
Zhe Xin
Melanie Ng Pei See
Kanav Sabharwal
Giovanni Apruzzese
D. Divakaran
AAML
11
8
0
18 Aug 2023
Impacts and Risk of Generative AI Technology on Cyber Defense
Subash Neupane
Ivan A. Fernandez
Sudip Mittal
Shahram Rahimi
6
15
0
22 Jun 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
Giovanni Apruzzese
P. Laskov
J. Schneider
20
24
0
30 Apr 2023
Poisoning the Unlabeled Dataset of Semi-Supervised Learning
Nicholas Carlini
AAML
139
68
0
04 May 2021
Towards Benchmark Datasets for Machine Learning Based Website Phishing Detection: An experimental study
Abdelhakim Hannousse
Salima Yahiouche
32
64
0
24 Oct 2020
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