Spam detection

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 38 papers with code (117 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
  2 Jun 2023 2 repositories listed
  Graph Anomaly Detection (GAD) is a technique used to identify abnormal nodes within graphs, finding applications in network security, fraud detection, social media spam detection, and various other domains.
• Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks
  30 Jun 2022 2 repositories listed
  In Deep Convolutional Neural Networks (DCNNs), the parameter count in pointwise convolutions quickly grows due to the multiplication of the filters and input channels from the preceding layer.
• Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text
  10 Oct 2021 2 repositories listed
  The increase in people's use of mobile messaging services has led to the spread of social engineering attacks like phishing, considering that spam text is one of the main factors in the dissemination of phishing attacks…
• Weight Poisoning Attacks on Pre-trained Models
  14 Apr 2020 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  We show that by applying a regularization method, which we call RIPPLe, and an initialization procedure, which we call Embedding Surgery, such attacks are possible even with limited knowledge of the dataset and…
• Cost-Aware Robust Tree Ensembles for Security Applications
  3 Dec 2019 2 repositories listed
  There are various costs for attackers to manipulate the features of security classifiers.
• GANs for Semi-Supervised Opinion Spam Detection
  19 Mar 2019 2 repositories listed
  Online reviews have become a vital source of information in purchasing a service (product).
• Stronger Data Poisoning Attacks Break Data Sanitization Defenses
  2 Nov 2018 2 repositories listed
  In this paper, we develop three attacks that can bypass a broad range of common data sanitization defenses, including anomaly detectors based on nearest neighbors, training loss, and singular-value decomposition.
• Evading classifiers in discrete domains with provable optimality guarantees
  25 Oct 2018 2 repositories listed
  We introduce a graphical framework that (1) generalizes existing attacks in discrete domains, (2) can accommodate complex cost functions beyond p-norms, including financial cost incurred when attacking a classifier, and…
• Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers
  13 Jan 2018 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  Although various techniques have been proposed to generate adversarial samples for white-box attacks on text, little attention has been paid to black-box attacks, which are more realistic scenarios.
• Cyber Security Data Science: Machine Learning Methods and their Performance on Imbalanced Datasets
  7 May 2025 1 repository listed
  Therefore, we recommend testing single classifiers and imbalance learning techniques for each new dataset and application involving imbalanced datasets as is the case in several cyber security applications.
• Advancing Email Spam Detection: Leveraging Zero-Shot Learning and Large Language Models
  5 May 2025 1 repository listed
  Email spam detection is a critical task in modern communication systems, essential for maintaining productivity, security, and user experience.
• QuickCharNet: An Efficient URL Classification Framework for Enhanced Search Engine Optimization
  22 Oct 2024 1 repository listed
  These results emphasize the significance of URLs in search engine optimization: well-named URLs enable better topic classification, increasing the likelihood of appearing on the first page of search engine results by 4.
• Online detection and infographic explanation of spam reviews with data drift adaptation
  21 Jun 2024 1 repository listed
  Spam reviews are a pervasive problem on online platforms due to its significant impact on reputation.
• SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection
  15 Apr 2024 1 repository listed
  In this study, we introduce SpamDam, a SMS spam detection framework designed to overcome key challenges in detecting and understanding SMS spam, such as the lack of public SMS spam datasets, increasing privacy concerns…
• Detecting value-expressive text posts in Russian social media
  14 Dec 2023 1 repository listed
  We aimed to find a model that can accurately detect value-expressive posts in Russian social media VKontakte.
• Text generation for dataset augmentation in security classification tasks
  22 Oct 2023 1 repository listed
  Security classifiers, designed to detect malicious content in computer systems and communications, can underperform when provided with insufficient training data.
• High Performance Computing Applied to Logistic Regression: A CPU and GPU Implementation Comparison
  19 Aug 2023 1 repository listed
  We present a versatile GPU-based parallel version of Logistic Regression (LR), aiming to address the increasing demand for faster algorithms in binary classification due to large data sets.
• Addressing the Impact of Localized Training Data in Graph Neural Networks
  24 Jul 2023 1 repository listed
  To tackle the challenges posed by localized training data, we approach the problem as an out-of-distribution (OOD) data issue by by aligning the distributions between the training data, which represents a small portion…
• Alfred: A System for Prompted Weak Supervision
  29 May 2023 1 repository listed Syntology ran 3 of 4 samples · 1 unverified
  Alfred is the first system for programmatic weak supervision (PWS) that creates training data for machine learning by prompting.
• Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection
  3 Apr 2023 1 repository listed
  Our results demonstrate that Spam-T5 surpasses baseline models and other LLMs in the majority of scenarios, particularly when there are a limited number of training samples available.
• Modeling User Behavior With Interaction Networks for Spam Detection
  21 Jul 2022 1 repository listed
  Users' complex behavior can be well represented by a heterogeneous graph rich with node and edge attributes.
• Traditional and context-specific spam detection in low resource settings
  9 Jun 2022 1 repository listed
  The neural network model outperforms the traditional models with an F1 score of 0.
• TLMOTE: A Topic-based Language Modelling Approach for Text Oversampling
  4 May 2022 1 repository listed
  To tackle the problem of bias towards majority classes, researchers have presented various techniques to oversample the minority class data points.
• Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection
  13 Jul 2021 1 repository listed
  Lastly, we evaluated the detection performance of the three representation models (BoW, TFIDF and BERT) coupled with the best classifier from the baseline experiment (SVM).
• Accelerating Large Scale Real-Time GNN Inference using Channel Pruning
  10 May 2021 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  In this paper, we propose to accelerate GNN inference by pruning the dimensions in each layer with negligible accuracy loss.
• GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns
  8 Apr 2021 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  Data exploration is an important step of every data science and machine learning project, including those involving textual data.
• Adversarial Robustness with Non-uniform Perturbations
  24 Feb 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Robustness of machine learning models is critical for security related applications, where real-world adversaries are uniquely focused on evading neural network based detectors.
• Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training
  24 Dec 2020 1 repository listed
  Online reviews are a vital source of information when purchasing a service or a product.
• Fact or Factitious? Contextualized Opinion Spam Detection
  29 Oct 2020 1 repository listed
  In this paper we perform an analytic comparison of a number of techniques used to detect fake and deceptive online reviews.
• Rank over Class: The Untapped Potential of Ranking in Natural Language Processing
  10 Sep 2020 1 repository listed Syntology ran 1 of 3 samples · 2 unverified
  Text classification has long been a staple within Natural Language Processing (NLP) with applications spanning across diverse areas such as sentiment analysis, recommender systems and spam detection.

Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.