Adversarial Machine Learning
51:40
Microsoft
Adversarial Machine Learning
The reliability of machine learning systems in the presence of adversarial noise has become a major field of study in recent years. As ML is being used for increasingly security sensitive applications and is trained in increasingly unreliable data, the ability for learning algorithms to tolerate worst-case noise has become more and more ...
Oct 30, 2019
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The Magic Behind Generative Adversarial Networks (GANs)Imagine an AI system that can create completely new faces that don’t belong to any real person, design entire fashion collections, generate realistic medical images, or even simulate financial transactions to test fraud detection systems. This isn’t science fiction, it’s the power of Generative Adversarial Networks (GANs), one of the most fascinating breakthroughs in artificial intelligence and deep learning.What Are GANs?A Generative Advers
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