What is Adversarial Machine Learning?

Skill Level:

Adversarial machine learning involves studying and defending AI models against attacks or adversarial examples designed to deceive the system. By understanding vulnerabilities and deploying robust defence mechanisms, businesses can ensure the reliability and security of AI solutions.

Other Definitions

Object Recognition is the capability of AI systems to identify and classify objects within images or videos. By utilising advanced algorithms and Neural Networks,…
Autonomous agents are AI systems that can perform actions and make decisions independently, guided by predefined goals or learning processes. Businesses leverage autonomous agents…
Knowledge-Based Systems are AI systems that utilise domain-specific knowledge and rules to make informed decisions or provide expert advice. These systems incorporate human expertise…
Neuroevolution is a type of AI learning that combines neural networks and evolutionary algorithms. Neuroevolution algorithms evolve neural networks over generations, adapting them to…