EXPLICATE: Enhancing Phishing Detection through Explainable AI and LLM-Powered Interpretability

A new approach for phishing detection using deep learning techniques

L. A. Kara, E. C. Yıldırım, and K. Eroğlu · 2022

Earlier work this paper cites.

Enhanced phishing detection using transformer-based language models

M. Alshare, N. Aljojo, and F. Albalawi · 2023

Earlier work this paper cites.

Feature classification and extreme learning machine based detection of phishing websites

S. Bhagat, H. Bhatt, and S. Tiwari · 2023

Earlier work this paper cites.

Comparative study between global and local explainable models

S. Dafali, M. Kissi, and O. Beggar · 2023

Earlier work this paper cites.

Approximate inverse model explanations (aime): Unveiling local and global insights in machine learning models

T. Nakanishi · 2023

Earlier work this paper cites.

Phishing or not phishing? a survey on the detection of phishing websites

Original

P. Zieni, H. Kann, and S. Kavas · 2023

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Ethereum phishing scam detection based on data augmentation method and hybrid graph neural network model

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Spectral zones-based shap/lime: Enhancing interpretability in spectral deep learning models through grouped feature analysis

J. Contreras, A. Winterfeld, J. Popp, and T. Bocklitz · 2024

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Modeling hybrid feature-based phishing websites detection using machine learning techniques

S. Das Guppta, K. T. Shahriar, H. Alqahtani, et al · 2024

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Investigation on explainable machine learning models to predict chronic kidney diseases

S. Ghosh and A. Khandoker · 2024

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Explainable artificial intelligence (xai) for predicting the need for intubation in methanol-poisoned patients: A study comparing deep and machine learning models

K. Moulaei, M. Afrash, M. Parvin, S. Shadnia, M. Rahimi, B. Mostafazadeh, et al · 2024

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Securing networks: An in-depth analysis of intrusion detection using machine learning and model explanations

H. Vo, N. Thien, K. Mui, and P. Tien · 2024

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Ai-based phishing detection and automated response: A multi-channel security framework for modern communication platforms

S. Zaware · 2024

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Pd_ebm: An integrated boosting approach based on selective features for unveiling parkinson’s disease diagnosis with global and local explanations

F. Khanom, M. Uddin, and R. Mostafiz · 2025

Closest in time.