Cybersecurity in Artificial Intelligence addresses the protection of AI systems from security threats and vulnerabilities. It involves implementing strategies and technologies to safeguard AI models, data, and algorithms from unauthorised access, data breaches, and malicious attacks. Ensuring cybersecurity in AI is crucial for maintaining the integrity and reliability of AI-driven solutions.
Federated Learning is a privacy-preserving technique where AI models are trained across multiple decentralised devices or systems without sharing raw data. Instead, only aggregated…