DeepAI
Log In Sign Up

Knowledge Sharing via Domain Adaptation in Customs Fraud Detection

01/18/2022
by   Sungwon Park, et al.
0

Knowledge of the changing traffic is critical in risk management. Customs offices worldwide have traditionally relied on local resources to accumulate knowledge and detect tax fraud. This naturally poses countries with weak infrastructure to become tax havens of potentially illicit trades. The current paper proposes DAS, a memory bank platform to facilitate knowledge sharing across multi-national customs administrations to support each other. We propose a domain adaptation method to share transferable knowledge of frauds as prototypes while safeguarding the local trade information. Data encompassing over 8 million import declarations have been used to test the feasibility of this new system, which shows that participating countries may benefit up to 2-11 times in fraud detection with the help of shared knowledge. We discuss implications for substantial tax revenue potential and strengthened policy against illicit trades.

READ FULL TEXT

page 1

page 2

page 3

page 4

01/05/2013

Knowledge Sharing: A Model

We know anything because we learn about it, there is anything we ever sh...
04/23/2021

Collaborative Information Sharing for ML-Based Threat Detection

Recently, coordinated attack campaigns started to become more widespread...
10/14/2022

Understanding the Knowledge Sharing Behaviors of Library Professionals in South Asia

The present study aim is to know the information professionals-library p...
04/08/2022

Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation

Domain adaptation (DA) tries to tackle the scenarios when the test data ...
10/02/2019

Tree-Structured Semantic Encoder with Knowledge Sharing for Domain Adaptation in Natural Language Generation

Domain adaptation in natural language generation (NLG) remains challengi...
11/08/2022

What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain Adaptation

kNN-MT presents a new paradigm for domain adaptation by building an exte...