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Spam detection

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 117 papers

TitleStatusHype
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
Experimenting with an Evaluation Framework for Imbalanced Data Learning (EFIDL)—0
ExplainableDetector: Exploring Transformer-based Language Modeling Approach for SMS Spam Detection with Explainability Analysis—0
Fame for sale: efficient detection of fake Twitter followers—0
Fast Privacy-Preserving Text Classification based on Secure Multiparty Computation—0
Genshin: General Shield for Natural Language Processing with Large Language Models—0
Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors—0
Hierarchical mixture of discriminative Generalized Dirichlet classifiers—0
Hunting for Spammers: Detecting Evolved Spammers on Twitter—0
Identifying Banking Transaction Descriptions via Support Vector Machine Short-Text Classification Based on a Specialized Labelled Corpus—0
Impact of Feature Selection on Micro-Text Classification—0
Improving Opinion Spam Detection by Cumulative Relative Frequency Distribution—0
Introducing Adaptive Continuous Adversarial Training (ACAT) to Enhance ML Robustness—0
Judgment of Thoughts: Courtroom of the Binary Logical Reasoning in Large Language Models—0
Knowledge Adaptation: Teaching to Adapt—0
Language and Dialect Discrimination Using Compression-Inspired Language Models—0
Learning review representations from user and product level information for spam detection—0
Learning to Represent Review with Tensor Decomposition for Spam Detection—0
Learning with Labeling Induced Abstentions—0
An Investigation on Learning, Polluting, and Unlearning the Spam Emails for Lifelong Learning—0
Making the Most of Tweet-Inherent Features for Social Spam Detection on Twitter—0
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
Evading classifiers in discrete domains with provable optimality guaranteesCode0
Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial TrainingCode0
Cost-Aware Robust Tree Ensembles for Security ApplicationsCode0
EMFET: E-mail Features Extraction ToolCode0
Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam DetectionCode0
Modeling User Behavior With Interaction Networks for Spam DetectionCode0
Detecting value-expressive text posts in Russian social mediaCode0
GANs for Semi-Supervised Opinion Spam DetectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BERTAvg F10.86—Unverified