OpenFE_reproduce
Fraud Detection Reproducibles
Reproduce experiments and results from a research paper on fraud detection using machine learning algorithms.
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Language: Jupyter Notebook
last commit: over 1 year ago Related projects:
| Repository | Description | Stars |
|---|---|---|
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 roytsai27/dual-attentive-tree-aware-embedding | Develops a machine learning model to classify and rank customs fraud cases based on transaction-level data and tree-based features | 61 |
| safe-graph/ugfraud | A toolbox for unsupervised graph-based fraud detection using multiple algorithms and techniques | 131 |
 yingtongdou/care-gnn | An implementation of a graph neural network-based fraud detector designed to counter camouflaged fraudsters | 248 |
| yingtongdou/nash-detect | An algorithm for detecting spam reviews using reinforcement learning to train robust detectors against strategically synthesized attacks. | 118 |
 0x4d31/deception-as-detection | Maps deception detection techniques to the ATT&CK framework and provides documentation for security professionals | 286 |
 shibli2700/randomrepo | Proof-of-concept project demonstrating a GitHub account hijacking vulnerability using Baidu and a specific security testing methodology. | 0 |
 iloveai2019/ocan | A framework for detecting fraud using a novel neural network approach that learns from benign user data | 24 |
 akakeigo2020/cikm-applied_research-2150 | Research on detecting bot install fraud in mobile advertising using machine learning | 1 |
 rifkybujana/fnd | A machine learning project that uses IndoBERT model to predict whether news articles are fake or not. | 8 |
 ignacio-rocco/detectorch | A PyTorch wrapper around Facebook AI Research's Detectron models for object detection and instance segmentation | 557 |
 xiaolonw/adversarial-frcnn | A Caffe-based implementation of A-Fast-RCNN, a method for object detection using adversarial networks. | 482 |
 yuwenxiong/py-r-fcn | A Python implementation of object detection using region-based fully convolutional networks | 1,048 |