Pluto: A Deep Learning Based Watchdog for Anti Money Laundering
Code (0)
등록된 구현이 없습니다.
Tasks
Deep LearningSimilar Papers 제목 키워드 기반
Intelligent Anti-Money Laundering Solution Based upon Novel Community Detection in Massive Transaction Networks on Spark
Criminals are using every means available to launder the profits from their illegal activities into ostensibly legitimate assets. Meanwhile, most commercial anti-money laundering systems are still rule-based, which canno…
Community DetectionCatch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering
Money laundering is the process where criminals use financial services to move massive amounts of illegal money to untraceable destinations and integrate them into legitimate financial systems. It is very crucial to iden…
Graph LearningAnti-Money Laundering Systems Using Deep Learning
In this paper, we focused on using deep learning methods for detecting money laundering in financial transaction networks, in order to demonstrate that it can be used as a complement or instead of the more commonly used …
Finding Money Launderers Using Heterogeneous Graph Neural Networks
Current anti-money laundering (AML) systems, predominantly rule-based, exhibit notable shortcomings in efficiently and precisely detecting instances of money laundering. As a result, there has been a recent surge toward …
Graph Neural NetworkBeyond Defensive Reporting: Machine Learning for Active Anti-Money Laundering Control in Insurance
Money laundering through insurance claims poses a threat to insurers both through fraudulent payouts and reputational and regulatory risk. Despite this, little research has examined how such laundering can be prevented. …