Tatiana Kalganova

A Cross-Modal Deep Learning Framework for Real-Time Digital Identity Threat Detection in Intelligent Network Environments

The proposed cross-modal deep learning approach is aimed at detecting credential manipulation, biometric spoofing, synthetic identity, behavioral anomaly, and coordinated identity attacks through the combination of different representations from multiple identity modalities.