From cedf8fe53a8058810a5d1e16076e6ef41904b9e4 Mon Sep 17 00:00:00 2001
From: fria <138676274+friadev@users.noreply.github.com>
Date: Sat, 12 Jul 2025 07:17:26 -0500
Subject: [PATCH] remove problems with k-anonymity

---
 blog/posts/differential-privacy.md | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/blog/posts/differential-privacy.md b/blog/posts/differential-privacy.md
index b0b96a25..2e3e49b6 100644
--- a/blog/posts/differential-privacy.md
+++ b/blog/posts/differential-privacy.md
@@ -105,10 +105,6 @@ Sometimes even with generalization, you might have outliers that don't satisfy t
 
 In these cases, you can simply remove the row entirely.
 
-#### Problems with k-anonymity
-
-
-
 ### Dawn of Differential Privacy
 
 Most of the concepts I write about seem to come from the 70's and 80's, but differential privacy is a relatively new concept. It was first introduced in a paper from 2006 called [*Calibrating Noise to Sensitivity in Private Data Analysis*](https://desfontain.es/PDFs/PhD/CalibratingNoiseToSensitivityInPrivateDataAnalysis.pdf).