As Roth notes when he refers to a "mathematical proof," differential privacy doesn't merely try to obfuscate or "anonymize" users' data. That anonymization approach, he argues, tends to fail.

Two years ago, Stellantis established Mobilisights as a new data-as-a-service business unit. Initially focused on fleets, they are now debuting anonymized data platform ...

While most of the scenarios Xu discussed concern network privacy specifically, companies such as Apple and Google are trying new methods to protect user data including differential privacy, he said.

Google LLC’s cloud business today introduced a differential privacy feature for its BigQuery data warehouse. The feature, which is currently public preview, will enable enterprises to more ...

We will study concepts such as differential privacy, database anonymization, anonymous communication, and algorithmic fairness. We will also discuss privacy in the context of web privacy, social ...

Data plays an essential role in governance, ... anonymization methods and secure computation processes. ... differential privacy, encryption, federated data science, private set intersection, ...

Differential privacy allows for secure data sharing. ... (February 2021), and Canadian data anonymization company CryptoNumerics (July 2020). ...

But these data can also do harm, and the Census Bureau’s work to protect privacy has come a long way in mitigating this risk. We must encourage them to continue.

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 ...

Dublin, March 18, 2025 (GLOBE NEWSWIRE) -- The "Data Anonymization Tools Market by Type (Data Aggregation, Data Generalization, Data Masking), Deloyment (Cloud, On-Premise), Organization Size, End ...