Attacking Machine Learning with Adversarial Examples

Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they’re like optical illusions for machines. In this post we’ll show how adversarial examples work across differen… Read more

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Machine Learning as a Service Platforms

Machine learning as a service offers the distinct advantage of scalable machine resources as and when they are needed. The platforms listed below vary in sophistication. Some offer AI assistance, while others are simply platforms for coordinating work whe... (more…)

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