Graph Learning for Customs Fraud Detction with Label Scarcity
Technology Introduction:
Technology Introduction:As global trade connectivity increases, so does import fraud. Facing vast trade volumes, customs can only inspect a fraction of declarations. We developed AI algorithm GraphFC, which requires minimal labeled data for training and accurately detects illegal import declarations. In collaboration with WCO, GraphFC has been tested in several African countries. The results were presented at AI top conference ACM CIKM 2023, showcasing Taiwan’s significant contribution to AI in customs fraud detection.
Industry Applicability:
GraphFC is currently deployed in Nigeria and Malawi’s customs systems and is being promoted to all WCO member countries. It aims to impact globally by: Detecting customs fraud to ensure lawful trading, Increasing tax revenue and minimizing tariff evasion losses, and Extending to the banking sector to spot illegal financial transactions and prevent money laundering, leveraging its open-source nature. GraphFC protects customs inspectors by reducing exposure to risky environments.
Industrial Applications:
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National Cheng Kung University
National Cheng Kung University (NCKU) envisions its campus as a place that nurtures imagination, grounded in solid academic research and high-quality learning. The university is committed to fostering urban development and global sustainability as part of its centennial mission. By breaking institutional barriers and strengthening interdisciplinary teaching and research, NCKU encourages students to recognize social issues, produce research that meets societal needs, and actively engage in solving global challenges—reflecting its responsibility as a leading university.
Contact Information
Name:-
Tel:06-275-7575 #62560
Address:No.1, Daxue Rd., East Dist., Tainan City 701, Taiwan (R.O.C.)
Additional Information
Pavilion:Future Tech Artificial Intelligence FD02
Exhibiting Entity:National Science and Technology Council
Application Category:Information and Communications
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Pavilion:Future Tech Artificial Intelligence FD02
Exhibiting Entity:National Science and Technology Council
Application Category:Information and Communications