Small Language Models for Phishing Website Detection: Cost, Performance, and Privacy Trade-Offs
Fuente:
arXiv
Saved in:
| Main Authors: | Goldenits, Georg, Koenig, Philip, Raubitzek, Sebastian, Ekelhart, Andreas |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Sophisticated Framework for the Accurate Detection of Phishing Websites
by: Newaz, Asif, et al.
Published: (2024)
by: Newaz, Asif, et al.
Published: (2024)
Phishing Website Detection through Multi-Model Analysis of HTML Content
by: Çolhak, Furkan, et al.
Published: (2024)
by: Çolhak, Furkan, et al.
Published: (2024)
Assessing Spear-Phishing Website Generation in Large Language Model Coding Agents
by: Malloy, Tailia, et al.
Published: (2026)
by: Malloy, Tailia, et al.
Published: (2026)
Multimodal Large Language Models for Phishing Webpage Detection and Identification
by: Lee, Jehyun, et al.
Published: (2024)
by: Lee, Jehyun, et al.
Published: (2024)
PhreshPhish: A Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark
by: Dalton, Thomas, et al.
Published: (2025)
by: Dalton, Thomas, et al.
Published: (2025)
Trustworthiness Calibration Framework for Phishing Email Detection Using Large Language Models
by: Ganiuly, Daniyal, et al.
Published: (2025)
by: Ganiuly, Daniyal, et al.
Published: (2025)
E-PhishGen: Unlocking Novel Research in Phishing Email Detection
by: Pajola, Luca, et al.
Published: (2025)
by: Pajola, Luca, et al.
Published: (2025)
Benchmarking Large Language Models for Zero-shot and Few-shot Phishing URL Detection
by: Hasan, Najmul, et al.
Published: (2026)
by: Hasan, Najmul, et al.
Published: (2026)
Enhancing Phishing Email Identification with Large Language Models
by: Lee, Catherine
Published: (2025)
by: Lee, Catherine
Published: (2025)
MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection
by: Xue, Yinuo, et al.
Published: (2025)
by: Xue, Yinuo, et al.
Published: (2025)
Phishing the Phishers with SpecularNet: Hierarchical Graph Autoencoding for Reference-Free Web Phishing Detection
by: Song, Tailai, et al.
Published: (2026)
by: Song, Tailai, et al.
Published: (2026)
Phishing URL Detection using Bi-LSTM
by: Baskota, Sneha
Published: (2025)
by: Baskota, Sneha
Published: (2025)
CIC-Trap4Phish: A Unified Multi-Format Dataset for Phishing and Quishing Attachment Detection
by: Nejati, Fatemeh, et al.
Published: (2026)
by: Nejati, Fatemeh, et al.
Published: (2026)
Eliciting Least-to-Most Reasoning for Phishing URL Detection
by: Trikilis, Holly, et al.
Published: (2026)
by: Trikilis, Holly, et al.
Published: (2026)
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction
by: Castaño, Felipe, et al.
Published: (2025)
by: Castaño, Felipe, et al.
Published: (2025)
Accuracy and Efficiency Trade-Offs in LLM-Based Malware Detection and Explanation: A Comparative Study of Parameter Tuning vs. Full Fine-Tuning
by: Gravereaux, Stephen C., et al.
Published: (2025)
by: Gravereaux, Stephen C., et al.
Published: (2025)
Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection
by: Fajar, Abdullah, et al.
Published: (2024)
by: Fajar, Abdullah, et al.
Published: (2024)
Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction
by: Trad, Fouad, et al.
Published: (2024)
by: Trad, Fouad, et al.
Published: (2024)
Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability
by: Kuikel, Shova, et al.
Published: (2025)
by: Kuikel, Shova, et al.
Published: (2025)
CyberCane: Neuro-Symbolic RAG for Privacy-Preserving Phishing Detection with Formal Ontology Reasoning
by: Hakim, Safayat Bin, et al.
Published: (2026)
by: Hakim, Safayat Bin, et al.
Published: (2026)
Towards Privacy-Preserving and Personalized Smart Homes via Tailored Small Language Models
by: Huang, Xinyu, et al.
Published: (2025)
by: Huang, Xinyu, et al.
Published: (2025)
PhishSSL: Self-Supervised Contrastive Learning for Phishing Website Detection
by: Li, Wenhao, et al.
Published: (2025)
by: Li, Wenhao, et al.
Published: (2025)
An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approach
by: Uddin, Mohammad Amaz, et al.
Published: (2024)
by: Uddin, Mohammad Amaz, et al.
Published: (2024)
PhishGuard: A Multi-Layered Ensemble Model for Optimal Phishing Website Detection
by: Ovi, Md Sultanul Islam, et al.
Published: (2024)
by: Ovi, Md Sultanul Islam, et al.
Published: (2024)
EXPLICATE: Enhancing Phishing Detection through Explainable AI and LLM-Powered Interpretability
by: Lim, Bryan, et al.
Published: (2025)
by: Lim, Bryan, et al.
Published: (2025)
When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive Learning
by: Sun, Ruining, et al.
Published: (2025)
by: Sun, Ruining, et al.
Published: (2025)
NoPhish: Efficient Chrome Extension for Phishing Detection Using Machine Learning Techniques
by: Thaqi, Leand, et al.
Published: (2024)
by: Thaqi, Leand, et al.
Published: (2024)
Dual-Path Phishing Detection: Integrating Transformer-Based NLP with Structural URL Analysis
by: Altan, Ibrahim, et al.
Published: (2025)
by: Altan, Ibrahim, et al.
Published: (2025)
PhishDebate: An LLM-Based Multi-Agent Framework for Phishing Website Detection
by: Li, Wenhao, et al.
Published: (2025)
by: Li, Wenhao, et al.
Published: (2025)
KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection
by: Li, Yuexin, et al.
Published: (2024)
by: Li, Yuexin, et al.
Published: (2024)
Winning at All Cost: A Small Environment for Eliciting Specification Gaming Behaviors in Large Language Models
by: Malmqvist, Lars
Published: (2025)
by: Malmqvist, Lars
Published: (2025)
PiMRef: Detecting and Explaining Ever-evolving Spear Phishing Emails with Knowledge Base Invariants
by: Liu, Ruofan, et al.
Published: (2025)
by: Liu, Ruofan, et al.
Published: (2025)
Enhancing Phishing Detection through Feature Importance Analysis and Explainable AI: A Comparative Study of CatBoost, XGBoost, and EBM Models
by: Fajar, Abdullah, et al.
Published: (2024)
by: Fajar, Abdullah, et al.
Published: (2024)
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
by: Zeng, Ziqian, et al.
Published: (2024)
by: Zeng, Ziqian, et al.
Published: (2024)
LLM-Powered Intent-Based Categorization of Phishing Emails
by: Eilertsen, Even, et al.
Published: (2025)
by: Eilertsen, Even, et al.
Published: (2025)
Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture
by: Goldenits, Georg, et al.
Published: (2024)
by: Goldenits, Georg, et al.
Published: (2024)
Phishing Detection in the Gen-AI Era: Quantized LLMs vs Classical Models
by: Thapa, Jikesh, et al.
Published: (2025)
by: Thapa, Jikesh, et al.
Published: (2025)
WebSP-Eval: Evaluating Web Agents on Website Security and Privacy Tasks
by: Ramesh, Guruprasad Viswanathan, et al.
Published: (2026)
by: Ramesh, Guruprasad Viswanathan, et al.
Published: (2026)
Towards Robust Multi-tab Website Fingerprinting
by: Deng, Xinhao, et al.
Published: (2025)
by: Deng, Xinhao, et al.
Published: (2025)
LLM Agents can Autonomously Hack Websites
by: Fang, Richard, et al.
Published: (2024)
by: Fang, Richard, et al.
Published: (2024)
Similar Items
-
A Sophisticated Framework for the Accurate Detection of Phishing Websites
by: Newaz, Asif, et al.
Published: (2024) -
Phishing Website Detection through Multi-Model Analysis of HTML Content
by: Çolhak, Furkan, et al.
Published: (2024) -
Assessing Spear-Phishing Website Generation in Large Language Model Coding Agents
by: Malloy, Tailia, et al.
Published: (2026) -
Multimodal Large Language Models for Phishing Webpage Detection and Identification
by: Lee, Jehyun, et al.
Published: (2024) -
PhreshPhish: A Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark
by: Dalton, Thomas, et al.
Published: (2025)