5 citations · 13 across the 3 of their papers we have counts for
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cs.LG2025★ 5 cited
FRAUD-RLA: A new reinforcement learning adversarial attack against credit card fraud detection
Daniele Lunghi, Yannick Molinghen, Alkis Simitsis +2
Adversarial attacks pose a significant threat to data-driven systems, and researchers have spent considerable resources studying them. Despite its economic relevance, this trend la…
cs.LG2023
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives
Danele Lunghi, Alkis Simitsis, Olivier Caelen +1
Data economy relies on data-driven systems and complex machine learning applications are fueled by them. Unfortunately, however, machine learning models are exposed to fraudulent a…