「Differential Privacy」は、Appleが考え出したものではない。1960年代から存在するテクノロジだ。この種のソフトウェアは基本 ...

Traditionally, companies have relied upon data masking, sometimes called de-identification, to protect data privacy. The basic idea is to remove all personally identifiable information (PII) from each ...

Hiding sensitive data in a sea of noise might have more value than encryption in some use cases. Here are the most likely differential privacy applications and their trade-offs. In the past, the ...

Being able to share information about a group of people without compromising any individual person’s privacy kinda sounds like a form of wizardry. But it’s not. It’s just math. I say “just” not to ...

In 2024, we saw a huge influx of generative AI applications in business. In many industries though, like healthcare, finance and law, regulation is often a barrier to progress. In fact, 47% of data ...

Enterprises are hoarding more data than ever to fuel their AI ambitions, but at the same time, they are also worried about who can access this data, which is often of a very private nature. PVML is ...

Google has announced a new open model called VaultGemma based on recent findings around differential privacy. The AI model has 1-billion parameters and is based on the Gemma 2 from Google’s family of ...