Comparative Investigation of Traditional Machine-Learning Models and Transformer Models for Phishing Email Detection [PDF]
René Meléndez +2 more
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Towards Adversarial Phishing Detection
, 2020 Over the recent decades, numerous evaluations of automated methods for detecting phishing attacks have been reporting stellar detection performances based on empirical evidence. These performances often neglect the adaptive behavior of an adversary seeking to evade detection, yielding uncertainty about their adversarial robustness.
Panum, Thomas K. +3 more
openaire +1 more source
Impact of detection accuracy rates on phishing email spikes: Towards more effective mitigation [PDF]
Sunday Eric Adewumi, Uchenna Ani
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Man versus Machine: AutoML and Human Experts' Role in Phishing Detection [PDF]
, 2021 Rizka Purwanto +3 more
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Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques [PDF]
Aditya Kulkarni +2 more
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Small Language Models for Phishing Website Detection: Cost, Performance, and Privacy Trade-Offs
Goldenits, Georg +3 more
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Phish-Blitz: Advancing Phishing Detection with Comprehensive Webpage Resource Collection and Visual Integrity Preservation [PDF]
Duddu Hriday +3 more
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Phishing detection on webpages in European non-English languages based on machine learning. [PDF]
Sci RepKomosny D.
europepmc +1 more source
Hybrid MLOps framework for automated lifecycle management of adaptive phishing detection models. [PDF]
Sci RepReda A, Taie SA, Shaheen ME.
europepmc +1 more source