From 21ecc1a9c7ac5390d9a17b683bfac44f2ac5791d Mon Sep 17 00:00:00 2001
From: fria <138676274+friadev@users.noreply.github.com>
Date: Tue, 1 Jul 2025 08:20:42 -0500
Subject: [PATCH] typo

---
 blog/posts/differential-privacy.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/blog/posts/differential-privacy.md b/blog/posts/differential-privacy.md
index 848d6eeb..962318ee 100644
--- a/blog/posts/differential-privacy.md
+++ b/blog/posts/differential-privacy.md
@@ -31,4 +31,4 @@ Most of the concepts I write about seem to come from the 70's and 80's, but diff
 
 The paper introduces the idea of adding noise to data to achieve privacy. Of course, adding noise to the dataset reduces its accuracy. Ɛ defines the amount of noise added to the dataset, with a small Ɛ meaning more privacy but less accurate data and vice versa. It's also referred to as the "privacy loss parameter".
 
-Importantly, differential privacy adds noise *before* it's analyzed. k-anonymity relies on trying to anonymize data *after* it's collected, so it leaves the possibility that not enough parameters are removed to ensure each indidual cannot be identified.
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+Importantly, differential privacy adds noise *before* it's analyzed. k-anonymity relies on trying to anonymize data *after* it's collected, so it leaves the possibility that not enough parameters are removed to ensure each individual cannot be identified.
\ No newline at end of file