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cs.CR2023
FRAUDability: Estimating Users' Susceptibility to Financial Fraud Using Adversarial Machine Learning
Chen Doytshman, Satoru Momiyama, Inderjeet Singh +2
In recent years, financial fraud detection systems have become very efficient at detecting fraud, which is a major threat faced by e-commerce platforms. Such systems often include…
cs.CR2021
Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems
Ron Bitton, Nadav Maman, Inderjeet Singh +3
Although cyberattacks on machine learning (ML) production systems can be harmful, today, security practitioners are ill equipped, lacking methodologies and tactical tools that woul…