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 ...

It’s not hard to tell that the image below shows three different things: a bird, a dog, and a horse. But to a machine learning algorithm, all three might the same thing: a small white box with a black ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...

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 ...

Securing AI pipelines against data poisoning: a practical guide for technical teams Data poisoning is one of the more practical risks in AI security because it targets the pipeline rather than 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 ...

Databricks Inc. today announced the general availability of Zerobus Ingest, a new serverless service within its Lakeflow Connect suite that simplifies and accelerates real-time data ingestion into the ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more For anyone in AI, it’s no big news that ...

Data integration and data ingestion are two IT disciplines that are often confused with one another. Here’s how they differ and the challenges you may encounter. With the increasing amount of data ...