IEEE

Unified Knowledge Distillation Framework: Fine-Grained Alignment and Geometric Relationship Preservation for Deep Face Recognition

Abstract: Knowledge Distillation (KD) is crucial for optimizing face recognition models for deployment in computationally limited settings, such as edge devices. Traditional KD methods, such as Raw L2 ...
IEEE

Anomaly Detection in Encrypted Network Traffic Using Deep Learning

Abstract: The use of encrypted traffic to protect user privacy has surged in response to the network security threats posed by the rapid advances in IoT, data science, and online services. Encryption ...