Another important factor in machine learning security is model visibility. When you use a machine learning model that is published online, say on GitHub, you’re using a “white box” model.

Data poisoning can render machine learning models inaccurate, possibly resulting in poor decisions based on faulty outputs. With no easy fixes available, security pros must focus on prevention and ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following ...

For example, if a machine learning model is performing complicated image classification (multiple classes) on high-resolution photos, the costs of creating training examples for the membership ...

Deep learning defined. Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem ...

Both generative AI and machine learning use algorithms to address complex challenges, but generative AI uses more sophisticated modeling and more advanced algorithms to add a creative element ...

In 2019, cybersecurity researchers created a machine learning model that could detect malware based on images created from the content of application files.

Image classification vs object detection. TinyML has made great progress in image classification, where the machine learning model must only predict the presence of a certain type of object in an ...