research
∙
07/28/2023
Adversarial training for tabular data with attack propagation
Adversarial attacks are a major concern in security-centered application...
share
research
∙
07/25/2023
The GANfather: Controllable generation of malicious activity to improve defence systems
Machine learning methods to aid defence systems in detecting malicious a...
research
∙
07/18/2022
Lightweight Automated Feature Monitoring for Data Streams
Monitoring the behavior of automated real-time stream processing systems...
research
∙
12/14/2021
Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs
Money laundering is a global problem that concerns legitimizing proceeds...
research
∙
07/16/2021
Active learning for online training in imbalanced data streams under cold start
Labeled data is essential in modern systems that rely on Machine Learnin...
research
∙
02/10/2021
GuiltyWalker: Distance to illicit nodes in the Bitcoin network
Money laundering is a global phenomenon with wide-reaching social and ec...
research
∙
05/29/2020
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity
Every year, criminals launder billions of dollars acquired from serious ...
research
∙
02/14/2020
ARMS: Automated rules management system for fraud detection
Fraud detection is essential in financial services, with the potential o...
research
∙
02/14/2020
