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  1. Home
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  3. Evaluating Human and Machine Confidence in Phishing Email De
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Evaluating Human and Machine Confidence in Phishing Email Detection: A Comparative Study

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0.0/10

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Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: pending

Distribution: unknown

Source paper: Evaluating Human and Machine Confidence in Phishing Email Detection: A Comparative Study

PDF: https://arxiv.org/pdf/2601.04610v1

First buyer signal: unknown

Distribution channel: unknown

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Dimensions overall score 3.0

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Prior Work
Eroding the Truth-Default: A Causal Analysis of Human Susceptibility to Foundation Model Hallucinations and Disinformation in the Wild
Score 3.0stable
Higher Viability
CIC-Trap4Phish: A Unified Multi-Format Dataset for Phishing and Quishing Attachment Detection
Score 5.0up
Higher Viability
Phishing the Phishers with SpecularNet: Hierarchical Graph Autoencoding for Reference-Free Web Phishing Detection
Score 8.0up
Higher Viability
Multilingual Financial Fraud Detection Using Machine Learning and Transformer Models: A Bangla-English Study
Score 5.0up
Higher Viability
Robustness, Cost, and Attack-Surface Concentration in Phishing Detection
Score 5.0up
Higher Viability
An Experimental Comparison of the Most Popular Approaches to Fake News Detection
Score 4.0up
Higher Viability
Detecting the Machine: A Comprehensive Benchmark of AI-Generated Text Detectors Across Architectures, Domains, and Adversarial Conditions
Score 5.0up
Higher Viability
Generalizable Detection of AI Generated Images with Large Models and Fuzzy Decision Tree
Score 7.0up

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