Traditional Spam Detection
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Benchmarks
Most implemented
Advancing Email Spam Detection: Leveraging Zero-Shot Learning and Large Language Models
2025-05-05 · 구현 1개
Traditional and context-specific spam detection in low resource settings
2022-06-09 · 구현 1개
Papers
EvoMail: Self-Evolving Cognitive Agents for Adaptive Spam and Phishing Email Defense
2025-09-25
· Wei Huang, De-Tian Chu, Lin-Yuan Bai, Wei Kang 외
arxiv
Modern email spam and phishing attacks have evolved far beyond keyword blacklists or simple heuristics. Adversaries now craft multi-modal campaigns that combine natural-language text with obfuscated URLs, forged headers,…
Traditional Spam DetectionGraph Neural NetworkAdvancing Email Spam Detection: Leveraging Zero-Shot Learning and Large Language Models
2025-05-05
· Ghazaleh Shirvani, Saeid Ghasemshirazi
Email spam detection is a critical task in modern communication systems, essential for maintaining productivity, security, and user experience. Traditional machine learning and deep learning approaches, while effective i…
Spam detectionTraditional Spam DetectionZero-Shot LearningTraditional and context-specific spam detection in low resource settings
2022-06-09 · Machine Learning 2022 6
· Kornraphop Kawintiranon, Lisa Singh
Social media data has a mix of high and low-quality content. One form of commonly studied low-quality content is spam. Most studies assume that spam is context-neutral. We show on different Twitter data sets that context…
Context-specific Spam DetectionLanguage ModellingSpam detectionTraditional Spam Detection