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.
Adversarial machine learning involves studying and defending AI models against attacks or adversarial examples designed to deceive the system. By understanding vulnerabilities and deploying…