Peer-Reviewed Research
AI Security
2024
Defensive Adversarial Training for AI Systems
A novel framework for protecting AI models against adversarial attacks through gradient regularization techniques.
Privacy
2024
Federated Learning with Differential Privacy
Secure multi-party computation techniques for preserving sensitive data in distributed AI training environments.
Real-World Security Solutions
Securing AI-Driven Financial Systems
Case study on deploying secure machine learning models for fraud detection while maintaining regulatory compliance and data privacy requirements.
Published June 2025 • 124 pages