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distilbert-phishing-detection-v2
umayer16/distilbert-phishing-detection-v2
distilbert-phishing-detection-v2 is a text classification model from umayer16. Use it when you need a label for a piece of text. The card lists the license as mit.
Fine-tuned distilbert-base-uncased for binary phishing/spam classification, trained on the PhishingEmailDetection dataset as part of an empirical study on adversarial robustness (homoglyph substitution vs. synonym rep…
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At a glance
- Task
- Text Classification
- License
- mit
- Model type
- distilbert
- Access
- Public
- Created
- Jul 11, 2026
- Updated
- Jul 11, 2026
- SHA
- 9347648d
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Model card
From the Hugging Face model README
DistilBERT Phishing Classifier — PhishingEmailDetection
Fine-tuned distilbert-base-uncased for binary phishing/spam classification,
trained on the PhishingEmailDetection dataset as part of an empirical study on
adversarial robustness (homoglyph substitution vs. synonym replacement attacks).
- Training: 3 epochs, batch size 32, AdamW, lr=2e-5
- Baseline accuracy: see paper Table/Fig. 1
- Part of: "Adversarial Robustness of NLP-Based Phishing Email Classifiers: A Multi-Dataset Empirical Study" (CJSJ 2026, Muktadir Arif)
- Task
- Text Classification
- Type
- distilbert
- License
- mit
- Created
- Jul 11, 2026
- Updated
- Jul 11, 2026