An Introduction to Differential Privacy
I think differential privacy is beautiful! Why are we here? Protecting the privacy of data is important and not trivial. To help make sense of things here, the Fundamental Law of Information Recovery becomes useful which states: Overly accurate estimates of too many statistics can completely destroy (data) privacy. Another example that provides a good incentive for why privacy is important is the ability of LLMs to memorize data which is an undesirable outcome as it risks the leak of PII....