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Privacy in the age of AI
Practical AI: Machine Learning, Data Science, LLM
**Randomized differential privacy **
The idea of differential privacy offers a mathematical guarantee around sort of privacy and the masking of direct identifiers. For example, if someone said something that had political implications at a certain time at a location, whoever had access to that central source of data couldn't really tie it back to a centrao a certain location at a Certain Time. So this sort of randomization comes and it can be taken as far as this idea of differentialprivacy.
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