3 papers
cs.LG2025
Dynamic Anomaly Identification in Accounting Transactions via Multi-Head Self-Attention Networks
Yi Wang, Ruoyi Fang, Anzhuo Xie +2
This study addresses the problem of dynamic anomaly detection in accounting transactions and proposes a real-time detection method based on a Transformer to tackle the challenges o…
cs.LG2025
Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions
Tengda Tang, Jianhua Yao, Yixian Wang +3
This study proposes an algorithm for detecting suspicious behaviors in large payment flows based on deep generative models. By combining Generative Adversarial Networks (GAN) and V…
cs.LG2025
A Deep Learning Approach to Anomaly Detection in High-Frequency Trading Data
Qiuliuyang Bao, Jiawei Wang, Hao Gong +3
This paper proposes an algorithm based on a staged sliding window Transformer architecture to detect abnormal behaviors in the microstructure of the foreign exchange market, focusi…