What is Adversarial Machine Learning?

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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

Backpropagation is a technique used in training Artificial Neural Networks. It involves propagating error information backward through the network, allowing adjustments to be made…
Generative Adversarial Networks are a type of Machine Learning model that consists of two neural networks: a generator and a discriminator. GANs are used…
Transfer Learning is a technique that allows AI models to apply knowledge gained from one task to another related task. By leveraging pre-trained models…
Object Detection is an AI technique that identifies and localises objects within an image or video. It involves analysing the visual data and assigning…