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Spam detection

Papers

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Showing 51–100 of 117 papers

TitleStatusHype
Multi-View Learning for Web Spam Detection—0
NetSpam: a Network-based Spam Detection Framework for Reviews in Online Social Media—0
Neyman-Pearson classification: parametrics and sample size requirement—0
Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms—0
Opinion Spam Recognition Method for Online Reviews using Ontological Features—0
Outlier Detection by Consistent Data Selection Method—0
Parallel Algorithms for Densest Subgraph Discovery Using Shared Memory Model—0
Quarantine Deceiving Yelp's Users by Detecting Unreliable Rating Reviews—0
Securing Behavior-based Opinion Spam Detection—0
Sentiment analysis and opinion mining on educational data: A survey—0
SenTube: A Corpus for Sentiment Analysis on YouTube Social Media—0
Signed Latent Factors for Spamming Activity Detection—0
SMS Spam Detection and Classification to Combat Abuse in Telephone Networks Using Natural Language Processing—0
SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks—0
SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder—0
Spam Detection Using BERT—0
Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Convolutional Neural Network—0
Are Your Reviewers Being Treated Equally? Discovering Subgroup Structures to Improve Fairness in Spam Detection—0
TopicSpam: a Topic-Model based approach for spam detection—0
Towards Accurate Deceptive Opinion Spam Detection based on Word Order-preserving CNN—0
Twitter Spam Detection: A Systematic Review—0
Universal Adversarial Perturbations and Image Spam Classifiers—0
Universal Spam Detection using Transfer Learning of BERT Model—0
Using Randomness to Improve Robustness of Machine-Learning Models Against Evasion Attacks—0
Visual Spoofing in content based spam detection—0
Voting for Deceptive Opinion Spam Detection—0
Web Scale Photo Hash Clustering on A Single Machine—0
Web Spam Detection Using Multiple Kernels in Twin Support Vector Machine—0
Weight Poisoning Attacks on Pretrained Models—0
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector—0
A Comprehensive Analysis of Adversarial Attacks against Spam Filters—0
Additive Feature Hashing—0
Adversarial Machine Learning in Network Intrusion Detection Systems—0
An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection—0
A new semi-supervised inductive transfer learning framework: Co-Transfer—0
An Improved Transformer-based Model for Detecting Phishing, Spam, and Ham: A Large Language Model Approach—0
Applying Naive Bayes Classification to Google Play Apps Categorization—0
A practical test for a planted community in heterogeneous networks—0
Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators—0
A Robust Autoencoder Ensemble-Based Approach for Anomaly Detection in Text—0
A Robust Opinion Spam Detection Method Against Malicious Attackers in Social Media—0
A systematic framework to discover pattern for web spam classification—0
Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks—0
Building an Effective Email Spam Classification Model with spaCy—0
Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning—0
Conditional Semi-Supervised Data Augmentation for Spam Message Detection with Low Resource Data—0
Context-Sensitive Malicious Spelling Error Correction—0
Convolutional Neural Networks for Image Spam Detection—0
Counteracting Concept Drift by Learning with Future Malware Predictions—0
Credit Card Fraud Detection in e-Commerce: An Outlier Detection Approach—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BERTAvg F10.86—Unverified