Security Measure

Security measures in various domains, from AI model ownership verification to IoT device protection and federated learning, are a major focus of current research, aiming to enhance robustness against diverse attacks. Prominent approaches leverage techniques like differential privacy, zero-trust architectures, and machine learning models (including CNNs, LSTMs, and Vision Transformers) to detect and mitigate threats, often balancing security with accuracy and privacy. These advancements are crucial for ensuring the trustworthiness and reliability of increasingly interconnected systems and protecting sensitive data in a wide range of applications.