Search Results for author: Olivier Elshocht

Found 2 papers, 1 papers with code

GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction

1 code implementation2 Jun 2023 Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li

Graph Anomaly Detection (GAD) is a technique used to identify abnormal nodes within graphs, finding applications in network security, fraud detection, social media spam detection, and various other domains.

Fraud Detection Graph Anomaly Detection +1

Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data

no code implementations20 Jan 2021 Francesco Cartella, Orlando Anunciacao, Yuki Funabiki, Daisuke Yamaguchi, Toru Akishita, Olivier Elshocht

Guaranteeing the security of transactional systems is a crucial priority of all institutions that process transactions, in order to protect their businesses against cyberattacks and fraudulent attempts.

Fraud Detection Image Classification

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