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LLM Security and Privacy

The Cloudcast

NOTE

Balancing Security and Privacy in Data Management

In the realm of data management, the balance between security and privacy is crucial. While security aims to build strong defenses like brick walls to protect data, privacy requires selectively sharing information through 'punching holes' in those defenses. It is essential to make data useful while safeguarding it, especially in the era of GDPR and other privacy regulations. Challenges arise in the context of AI models like neural networks, where once sensitive data is incorporated, there is no straightforward way to delete it. This poses significant concerns regarding privacy compliance, such as GDPR's right to be forgotten and data subject requests.

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