This post was originally published at Adversarial Machine Learning: How to Attack and Defend ML Models

The increasing accuracy of machine learning systems has resulted in a flood of applications using them. As machine learning models matured and improved, so did ways of attacking them.

In this article, Toptal Python Developer Pau Labarta Bajo examines the world of adversarial machine learning, explains how ML models can be attacked, and what you can do to safeguard them against attack.

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This post was originally published at Adversarial Machine Learning: How to Attack and Defend ML Models