11 citations · 11 across the 3 of their papers we have counts for
3 papers
Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings
Ana María Quintero-Ossa, Jesús Solano, Hernán Jarcía +3
Privacy-preserving machine learning in data-sharing processes is an ever-critical task that enables collaborative training of Machine Learning (ML) models without the need to share…
Feature-Level Fusion of Super-App and Telecommunication Alternative Data Sources for Credit Card Fraud Detection
Jaime D. Acevedo-Viloria, Sebastián Soriano Pérez, Jesus Solano +3
Identity theft is a major problem for credit lenders when there's not enough data to corroborate a customer's identity. Among super-apps large digital platforms that encompass many…
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training
Jakub Breier, Xiaolu Hou, Martín Ochoa +1
Neural network implementations are known to be vulnerable to physical attack vectors such as fault injection attacks. As of now, these attacks were only utilized during the inferen…