An article in AdExchanger looks at the evolution of privacy-enhancing technologies (PETs), such as differential privacy (DP), from theoretical concepts to practical applications. The article highlights how major platforms like Apple, Facebook, Google, Snap, LinkedIn, and TikTok have invested in operationalising differential privacy over the past eight or nine years. In terms of specific use cases, Apple is using DP for user behaviour inferences and recommendations, Facebook is making large data sets available for research, Google is supporting APIs in the Chrome Privacy Sandbox, and LinkedIn is using DP to measure post performance while maintaining user privacy.
The overarching goal of these applications is to find the delicate balance between privacy and utility. Ryan Rogers, a mathematician at Apple, said it highlights the industry's realisation that traditional methods like aggregation may no longer be sufficient for protecting privacy.
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