In the push for secure AI models, many organizations have turned to differential privacy. But is the very tool meant to protect user data holding back innovation? Developers face a tough choice: balance data privacy or prioritize precise results. Differential privacy may secure data, but it often comes at the cost of accuracy—an unacceptable trade-off for industries like healthcare and finance, where even small errors can have major consequences. Finding the balance Differential privacy protects … More →

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