Treffer: Deep Learning Architectures for Natural Language Understanding and Computer Vision Applications in Cybersecurity

Deep Learning Architectures for Natural Language Understanding and Computer Vision Applications in Cybersecurity explores cutting-edge deep learning techniques for enhancing security systems. Covering topics like transformer-based models for NLU, CNNs for threat detection, and hybrid architectures for anomaly detection, the book provides insights into AI-driven cybersecurity solutions. It discusses adversarial attacks, malware detection, and real-time surveillance using deep learning. Practical case studies and real-world applications illustrate the integration of AI in cybersecurity frameworks. This book is ideal for researchers, professionals, and students looking to leverage deep learning for securing digital environments against evolving cyber threats.