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20222025
most citedKnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection

8 citations · 20 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.CR2024★ 1 cited

PhishIntel: Toward Practical Deployment of Reference-Based Phishing Detection

Yuexin Li, Hiok Kuek Tan, Qiaoran Meng +6

Phishing is a critical cyber threat, exploiting deceptive tactics to compromise victims and cause significant financial losses. While reference-based phishing detectors (RBPDs) hav…

cs.CR2024★ 1 cited

Automated Phishing Detection Using URLs and Webpages

Huilin Wang, Bryan Hooi

Phishing detection is a critical cybersecurity task that involves the identification and neutralization of fraudulent attempts to obtain sensitive information, thereby safeguarding…

cs.CR2024★ 2 cited

Multimodal Large Language Models for Phishing Webpage Detection and Identification

Jehyun Lee, Peiyuan Lim, Bryan Hooi +1

To address the challenging problem of detecting phishing webpages, researchers have developed numerous solutions, in particular those based on machine learning (ML) algorithms. Amo…

cs.CR2024★ 1 cited

PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection

Tri Cao, Chengyu Huang, Yuexin Li +4

Phishing attacks are a major threat to online security, exploiting user vulnerabilities to steal sensitive information. Various methods have been developed to counteract phishing,…

cs.CR2024★ 8 cited

KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection

Yuexin Li, Chengyu Huang, Shumin Deng +5

Phishing attacks have inflicted substantial losses on individuals and businesses alike, necessitating the development of robust and efficient automated phishing detection approache…