:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Meguro, Rei, Chong, Ng S. T.
Formato:	Preprint
Publicado:	2025
Materias:	Cryptography and Security Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2502.03622
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LLM-Powered Intent-Based Categorization of Phishing Emails
por: Eilertsen, Even, et al.
Publicado: (2025)

MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection
por: Xue, Yinuo, et al.
Publicado: (2025)

E-PhishGen: Unlocking Novel Research in Phishing Email Detection
por: Pajola, Luca, et al.
Publicado: (2025)

Enhancing Phishing Email Identification with Large Language Models
por: Lee, Catherine
Publicado: (2025)

Trustworthiness Calibration Framework for Phishing Email Detection Using Large Language Models
por: Ganiuly, Daniyal, et al.
Publicado: (2025)

The Phish, The Spam, and The Valid: Generating Feature-Rich Emails for Benchmarking LLMs
por: Toth, Rebeka, et al.
Publicado: (2025)

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm
por: Pang, Yan, et al.
Publicado: (2025)

Explainable Transformer-Based Email Phishing Classification with Adversarial Robustness
por: P, Sajad U
Publicado: (2025)

PiMRef: Detecting and Explaining Ever-evolving Spear Phishing Emails with Knowledge Base Invariants
por: Liu, Ruofan, et al.
Publicado: (2025)

MeAJOR Corpus: A Multi-Source Dataset for Phishing Email Detection
por: Mendes, Paulo, et al.
Publicado: (2025)

An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approach
por: Uddin, Mohammad Amaz, et al.
Publicado: (2024)

EXPLICATE: Enhancing Phishing Detection through Explainable AI and LLM-Powered Interpretability
por: Lim, Bryan, et al.
Publicado: (2025)

Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks
por: Xiang, Chong, et al.
Publicado: (2026)

AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning
por: Tang, Zehui, et al.
Publicado: (2026)

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks
por: Mo, Xiaoxing, et al.
Publicado: (2025)

PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction
por: Castaño, Felipe, et al.
Publicado: (2025)

EvoMail: Self-Evolving Cognitive Agents for Adaptive Spam and Phishing Email Defense
por: Huang, Wei, et al.
Publicado: (2025)

MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
por: Zhu, Kaijie, et al.
Publicado: (2025)

Defending Large Language Models Against Jailbreak Exploits with Responsible AI Considerations
por: Wong, Ryan, et al.
Publicado: (2025)

Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks
por: Pasquini, Dario, et al.
Publicado: (2024)

Defenses Against Prompt Attacks Learn Surface Heuristics
por: Li, Shawn, et al.
Publicado: (2026)

Phishing Codebook: A Structured Framework for the Characterization of Phishing Emails
por: Saka, Tarini, et al.
Publicado: (2024)

Phishing the Phishers with SpecularNet: Hierarchical Graph Autoencoding for Reference-Free Web Phishing Detection
por: Song, Tailai, et al.
Publicado: (2026)

Every Character Counts: From Vulnerability to Defense in Phishing Detection
por: Chiper, Maria, et al.
Publicado: (2025)

Enhancing Model Defense Against Jailbreaks with Proactive Safety Reasoning
por: Yang, Xianglin, et al.
Publicado: (2025)

Different Victims, Same Layout: Email Visual Similarity Detection for Enhanced Email Protection
por: Shukla, Sachin, et al.
Publicado: (2024)

CIC-Trap4Phish: A Unified Multi-Format Dataset for Phishing and Quishing Attachment Detection
por: Nejati, Fatemeh, et al.
Publicado: (2026)

Through the Stealth Lens: Attention-Aware Defenses Against Poisoning in RAG
por: Choudhary, Sarthak, et al.
Publicado: (2025)

Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy
por: Mei, Jian-Ping, et al.
Publicado: (2025)

Data to Defense: The Role of Curation in Customizing LLMs Against Jailbreaking Attacks
por: Liu, Xiaoqun, et al.
Publicado: (2024)

WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections
por: Cao, Tri, et al.
Publicado: (2026)

AdaDoS: Adaptive DoS Attack via Deep Adversarial Reinforcement Learning in SDN
por: Shao, Wei, et al.
Publicado: (2025)

The Cognitive Firewall:Securing Browser Based AI Agents Against Indirect Prompt Injection Via Hybrid Edge Cloud Defense
por: Lan, Qianlong, et al.
Publicado: (2026)

Attacks and Defenses Against LLM Fingerprinting
por: Kurian, Kevin, et al.
Publicado: (2025)

Characterizing the Networks Sending Enterprise Phishing Emails
por: Luo, Elisa, et al.
Publicado: (2024)

Phishing URL Detection using Bi-LSTM
por: Baskota, Sneha
Publicado: (2025)

DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model Editing
por: Wang, Yi, et al.
Publicado: (2025)

Secret Collusion among AI Agents: Multi-Agent Deception via Steganography
por: Motwani, Sumeet Ramesh, et al.
Publicado: (2024)

One Step to the Side: Why Defenses Against Malicious Finetuning Fail Under Adaptive Adversaries
por: Zloczower, Itay, et al.
Publicado: (2026)

A Sophisticated Framework for the Accurate Detection of Phishing Websites
por: Newaz, Asif, et al.
Publicado: (2024)