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Spam detection

Papers

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Showing 1–50 of 117 papers

TitleStatusHype
Text generation for dataset augmentation in security classification tasksCode1
GAD-NR: Graph Anomaly Detection via Neighborhood ReconstructionCode1
Alfred: A System for Prompted Weak SupervisionCode1
Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam DetectionCode1
Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural NetworksCode1
Traditional and context-specific spam detection in low resource settingsCode1
Accelerating Large Scale Real-Time GNN Inference using Channel PruningCode1
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual PatternsCode1
Fact or Factitious? Contextualized Opinion Spam DetectionCode1
Rank over Class: The Untapped Potential of Ranking in Natural Language ProcessingCode1
Weight Poisoning Attacks on Pre-trained ModelsCode1
Stronger Data Poisoning Attacks Break Data Sanitization DefensesCode1
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning ClassifiersCode1
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
High Performance Computing Applied to Logistic Regression: A CPU and GPU Implementation ComparisonCode0
Addressing the Impact of Localized Training Data in Graph Neural NetworksCode0
Building an Effective Email Spam Classification Model with spaCy—0
Sentiment analysis and opinion mining on educational data: A survey—0
Experimenting with an Evaluation Framework for Imbalanced Data Learning (EFIDL)—0
Signed Latent Factors for Spamming Activity Detection—0
Modeling User Behavior With Interaction Networks for Spam DetectionCode0
Deep Sequence Models for Text Classification Tasks—0
Spam Detection Using BERT—0
Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms—0
TLMOTE: A Topic-based Language Modelling Approach for Text OversamplingCode0
Are Your Reviewers Being Treated Equally? Discovering Subgroup Structures to Improve Fairness in Spam Detection—0
Email Spam Detection Using Hierarchical Attention Hybrid Deep Learning Method—0
Convolutional Neural Networks for Image Spam Detection—0
Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators—0
Universal Spam Detection using Transfer Learning of BERT Model—0
Learning with Labeling Induced Abstentions—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BERTAvg F10.86—Unverified