3 techniques to defend your Machine Learning models against Adversarial attacks

Following our accounts of what adversarial machine learning means and how it works, we close this series of posts by describing what you can do to defend your machine learning models against attackers. There are different approaches to solve this issue, and we discuss them in order of least to most effective: target concealment, data … Continue reading 3 techniques to defend your Machine Learning models against Adversarial attacks