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.
Variational Autoencoders are a type of generative model used in unsupervised learning. VAEs learn a low-dimensional representation of input data and can generate new…