In a previous post we introduced the field of adversarial machine learning and what it could mean for bringing AI systems into the real world. Now, we'll dig a little deeper into the concept of adversarial examples and how they work.For the purpose of illustrating adversarial examples, we’ll talk about them in the context of … Continue reading This is not a hot dog: an intuitive view on attacking machine learning models
A common principle in cybersecurity is to never trust external inputs. It’s the cornerstone of most hacking techniques, as carelessly handled external inputs always introduce the possibility of exploitation. This is equally true for APIs, mobile applications and web applications.
It’s also true for deep neural networks.