Data poisoning is a type of cyberattack in which a bad actor intentionally compromises a training dataset used by an AI model by introducing malicious or corrupted data. The goal is to manipulate the ...

Modern technology is far from foolproof – as we can see with, for example, the numerous vulnerabilities that keep cropping up. While designing systems that are secure by design is a tried-and-true ...

Imagine a busy train station. Cameras monitor everything, from how clean the platforms are to whether a docking bay is empty or occupied. These cameras feed into an AI system that helps manage station ...

The IT community is freaking out about AI data poisoning. For some, it’s a sneaky backdoor into enterprise systems as it surreptitiously infects the data LLM systems train on — which then get sucked ...

Machine learning and artificial intelligence are making their way to the public sector, whether agencies are ready or not. Generative AI made waves last year with ChatGPT boasting the fastest-growing ...

Traditional attacks try to break into systems, but model poisoning changes how systems behave after they are trusted.

Takeaway: Companies need to be vigilant about feeding their machines clean data to avoid hackers poisoning their networks. Artificial intelligence is everywhere: from facial recognition technology to ...

As generative AI and machine learning takes hold, the bad guys are paying attention and looking for ways to subvert these algorithms. One of the more interesting methods that is gaining popularity is ...

Most artificial intelligence researchers agree that one of the key concerns of machine learning is adversarial attacks, data manipulation techniques that cause trained models to behave in undesired ...