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Spam detection

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Cyber Security Data Science: Machine Learning Methods and their Performance on Imbalanced Datasets

Advancing Email Spam Detection: Leveraging Zero-Shot Learning and Large Language Models

A Comprehensive Analysis of Adversarial Attacks against Spam Filters

QuickCharNet: An Efficient URL Classification Framework for Enhanced Search Engine Optimization

Judgment of Thoughts: Courtroom of the Binary Logical Reasoning in Large Language Models

Different Victims, Same Layout: Email Visual Similarity Detection for Enhanced Email Protection

Conditional Semi-Supervised Data Augmentation for Spam Message Detection with Low Resource Data

Online detection and infographic explanation of spam reviews with data drift adaptation

SMS Spam Detection and Classification to Combat Abuse in Telephone Networks Using Natural Language Processing

Genshin: General Shield for Natural Language Processing with Large Language Models

A Robust Autoencoder Ensemble-Based Approach for Anomaly Detection in Text

ExplainableDetector: Exploring Transformer-based Language Modeling Approach for SMS Spam Detection with Explainability Analysis

Hierarchical mixture of discriminative Generalized Dirichlet classifiers

SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection

Counteracting Concept Drift by Learning with Future Malware Predictions

Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector

Identifying Banking Transaction Descriptions via Support Vector Machine Short-Text Classification Based on a Specialized Labelled Corpus

Introducing Adaptive Continuous Adversarial Training (ACAT) to Enhance ML Robustness

Detecting value-expressive text posts in Russian social media

An Improved Transformer-based Model for Detecting Phishing, Spam, and Ham: A Large Language Model Approach

Text generation for dataset augmentation in security classification tasks

High Performance Computing Applied to Logistic Regression: A CPU and GPU Implementation Comparison

Addressing the Impact of Localized Training Data in Graph Neural Networks

GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction

Alfred: A System for Prompted Weak Supervision

Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection

Building an Effective Email Spam Classification Model with spaCy

Sentiment analysis and opinion mining on educational data: A survey

Experimenting with an Evaluation Framework for Imbalanced Data Learning (EFIDL)

Signed Latent Factors for Spamming Activity Detection

Modeling User Behavior With Interaction Networks for Spam Detection

Deep Sequence Models for Text Classification Tasks

Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks

Spam Detection Using BERT

Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms

Are Your Reviewers Being Treated Equally? Discovering Subgroup Structures to Improve Fairness in Spam Detection

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