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From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks

From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks

29 July 2024
Aditya Kulkarni
Vivek Balachandran
D. Divakaran
Tamal Das
    AAML
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Papers citing "From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks"

3 / 3 papers shown
Title
Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance
Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance
Chen-Wei Chang
Shailik Sarkar
Shutonu Mitra
Qi Zhang
Hossein Salemi
Hemant Purohit
Fengxiu Zhang
Michin Hong
Jin-Hee Cho
Chang-Tien Lu
65
2
0
01 Dec 2024
Multimodal Large Language Models for Phishing Webpage Detection and
  Identification
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
"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
37
5
0
03 Apr 2024
1