11 citations · 12 across the 5 of their papers we have counts for
5 papers
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…
Knowledge Distillation-Empowered Digital Twin for Anomaly Detection
Qinghua Xu, Shaukat Ali, Tao Yue +2
Cyber-physical systems (CPSs), like train control and management systems (TCMS), are becoming ubiquitous in critical infrastructures. As safety-critical systems, ensuring their dep…
Anomaly Detection using Capsule Networks for High-dimensional Datasets
Inderjeet Singh, Nandyala Hemachandra
Anomaly detection is an essential problem in machine learning. Application areas include network security, health care, fraud detection, etc., involving high-dimensional datasets.…
Dodging Attack Using Carefully Crafted Natural Makeup
Nitzan Guetta, Asaf Shabtai, Inderjeet Singh +2
Deep learning face recognition models are used by state-of-the-art surveillance systems to identify individuals passing through public areas (e.g., airports). Previous studies have…
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…