J. Kubíček

Deep learning for security-relevant event detection in visual data: a structured narrative review of the state of the art and future challenges

Time-to-Detection (TTD) is proposed as a complementary operational evaluation framework, and persistent challenges related to realistic datasets, demographic and domain biases, adversarial resilience, privacy-preserving learning, and federated deployment are highlighted.