Tags → #few-shot learning

Meta-UAD: New Scheme for Network Traffic Anomaly Detection

Recent research has introduced Meta-UAD, an advanced meta-learning scheme for user-level network traffic anomaly detection that utilizes deep learning techniques to improve the identification of security breaches.
New Model Enhances Detection of Zero-Day Malware Exploits

The article discusses the introduction of a Siamese Neural Network model designed to enhance the detection of zero-day malware exploits by utilizing relation-aware embeddings and entropy images for improved accuracy and efficiency.