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Spam detection

Papers

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Showing 1–25 of 117 papers

TitleStatusHype
Cyber Security Data Science: Machine Learning Methods and their Performance on Imbalanced DatasetsCode0
Advancing Email Spam Detection: Leveraging Zero-Shot Learning and Large Language ModelsCode0
A Comprehensive Analysis of Adversarial Attacks against Spam Filters—0
QuickCharNet: An Efficient URL Classification Framework for Enhanced Search Engine OptimizationCode0
Judgment of Thoughts: Courtroom of the Binary Logical Reasoning in Large Language Models—0
Different Victims, Same Layout: Email Visual Similarity Detection for Enhanced Email Protection—0
Conditional Semi-Supervised Data Augmentation for Spam Message Detection with Low Resource Data—0
Online detection and infographic explanation of spam reviews with data drift adaptationCode0
SMS Spam Detection and Classification to Combat Abuse in Telephone Networks Using Natural Language Processing—0
Genshin: General Shield for Natural Language Processing with Large Language Models—0
A Robust Autoencoder Ensemble-Based Approach for Anomaly Detection in Text—0
ExplainableDetector: Exploring Transformer-based Language Modeling Approach for SMS Spam Detection with Explainability Analysis—0
Hierarchical mixture of discriminative Generalized Dirichlet classifiers—0
SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam DetectionCode0
Counteracting Concept Drift by Learning with Future Malware Predictions—0
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector—0
Identifying Banking Transaction Descriptions via Support Vector Machine Short-Text Classification Based on a Specialized Labelled Corpus—0
Introducing Adaptive Continuous Adversarial Training (ACAT) to Enhance ML Robustness—0
Detecting value-expressive text posts in Russian social mediaCode0
An Improved Transformer-based Model for Detecting Phishing, Spam, and Ham: A Large Language Model Approach—0
Text generation for dataset augmentation in security classification tasksCode1
High Performance Computing Applied to Logistic Regression: A CPU and GPU Implementation ComparisonCode0
Addressing the Impact of Localized Training Data in Graph Neural NetworksCode0
GAD-NR: Graph Anomaly Detection via Neighborhood ReconstructionCode1
Alfred: A System for Prompted Weak SupervisionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BERTAvg F10.86—Unverified