Differential privacy applies to both aggregates and row-level data When the analyst cannot access the data, it is common to use differential privacy to produce differentially private aggregates.

In an era when data is everything, everywhere, all at once and computation has almost no limit, ensuring privacy while ...

PEDAL to the privacy LinkedIn’s investment in differential privacy for post analytics was about being proactive rather than reactive to risk. One logical way to protect the privacy of someone who ...

Differential privacy, according to the bureau, offers a way to reason about the fundamental leak of individual data that comes with any publication of aggregate totals in a way that is not ...

Google currently uses differential privacy libraries to protect all different types of information, like location data, generated by its Google Fi mobile customers. And the techniques also crop up ...

By incorporating blockchain, you’ve created a near perfect solution to the problem.” With differential privacy, democratizing AI finally feels like an achievable vision instead of a far-off dream.

Google began its differential privacy efforts in 2019 and got significant interest in it, prompting them to launch the new open source differential privacy product in Python. Google's work with ...

Differential privacy technology has passed a preliminary transition from being the subject of academic work to initial implementations by large organizations and high-tech companies that have the ...

Differential privacy is a cryptographic approach to data science, particularly with regard to analysis, that allows someone relying on software-aided analysis to draw insights from massive ...

In Santa Clara University’s Math and Computer Science department, Assistant Professor Sara Krehbiel has designed and taught (twice so far) an innovative quarter-length course on differential privacy ...

Google wants to make it easier for other companies to safeguard their user's privacy. In a blog post, the tech giant announced today that it is releasing an open-source version of its differential ...