:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	M, Jesher Joshua, R, Adhithya, S, Sree Dananjay, Revathi, M
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2405.03537
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FedCL-Ensemble Learning: A Framework of Federated Continual Learning with Ensemble Transfer Learning Enhanced for Alzheimer's MRI Classifications while Preserving Privacy
by: Kapoor, Rishit, et al.
Published: (2024)

Comprehensive Autonomous Vehicle Optimal Routing With Dynamic Heuristics
by: V, Ragav, et al.
Published: (2024)

Novel Interpretable and Robust Web-based AI Platform for Phishing Email Detection
by: Al-Subaiey, Abdulla, et al.
Published: (2024)

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

Calorie Burn Estimation in Community Parks Through DLICP: A Mathematical Modelling Approach
by: Sebastian, Abhishek, et al.
Published: (2024)

FedMM-X: A Trustworthy and Interpretable Framework for Federated Multi-Modal Learning in Dynamic Environments
by: Balija, Sree Bhargavi
Published: (2025)

Explaining Hitori Puzzles: Neurosymbolic Proof Staging for Sequential Decisions
by: Pacheco, Maria Leonor, et al.
Published: (2025)

An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A Survey
by: Ige, Tosin, et al.
Published: (2024)

On Continuity of Robust and Accurate Classifiers
by: Barati, Ramin, et al.
Published: (2023)

FedNAMs: Performing Interpretability Analysis in Federated Learning Context
by: Nanda, Amitash, et al.
Published: (2025)

NoPhish: Efficient Chrome Extension for Phishing Detection Using Machine Learning Techniques
by: Thaqi, Leand, et al.
Published: (2024)

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

Multi-Agent LLM Committees for Autonomous Software Beta Testing
by: Karanam, Sumanth Bharadwaj Hachalli, et al.
Published: (2025)

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features
by: Faisal, Aseer Al
Published: (2025)

Evaluating the Efficacy of Large Language Models in Identifying Phishing Attempts
by: Patel, Het, et al.
Published: (2024)

Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and Localization
by: Katamneni, Vinaya Sree, et al.
Published: (2024)

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

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

Evaluating Human and Machine Confidence in Phishing Email Detection: A Comparative Study
by: Jain, Paras, et al.
Published: (2026)

Empirical Analysis of Adversarial Robustness and Explainability Drift in Cybersecurity Classifiers
by: Rajhans, Mona, et al.
Published: (2026)

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

X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing Detection
by: Zhang, Qi, et al.
Published: (2026)

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

Phishing URL Detection using Bi-LSTM
by: Baskota, Sneha
Published: (2025)

An Empirical Study of Vulnerability Detection using Federated Learning
by: Zhou, Peiheng, et al.
Published: (2024)

KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection
by: Li, Yuexin, et al.
Published: (2024)

Assessing AI vs Human-Authored Spear Phishing SMS Attacks: An Empirical Study
by: Francia, Jerson, et al.
Published: (2024)

LCA: Local Classifier Alignment for Continual Learning
by: Tran, Tung, et al.
Published: (2026)

One Node Per User: Node-Level Federated Learning for Graph Neural Networks
by: Gao, Zhidong, et al.
Published: (2024)

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

Eliciting Least-to-Most Reasoning for Phishing URL Detection
by: Trikilis, Holly, et al.
Published: (2026)

An Empirical Investigation of Robustness in Large Language Models under Tabular Distortions
by: Dutta, Avik, et al.
Published: (2026)

Dual-Path Phishing Detection: Integrating Transformer-Based NLP with Structural URL Analysis
by: Altan, Ibrahim, et al.
Published: (2025)

Federated Learning with Limited Node Labels
by: Tang, Bisheng, et al.
Published: (2024)

Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection
by: Fajar, Abdullah, et al.
Published: (2024)

Exploring the Global-to-Local Attention Scheme in Graph Transformers: An Empirical Study
by: Wu, Gang, et al.
Published: (2025)

Weighted Graph Structure Learning with Attention Denoising for Node Classification
by: Wang, Tingting, et al.
Published: (2025)

Multimodal Large Language Models for Phishing Webpage Detection and Identification
by: Lee, Jehyun, et al.
Published: (2024)

Noise Immunity in In-Context Tabular Learning: An Empirical Robustness Analysis of TabPFN's Attention Mechanisms
by: Hu, James, et al.
Published: (2026)

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