diff --git a/privacy/bolt_on/README.md b/privacy/bolt_on/README.md
index 77d79d1..3d55977 100644
--- a/privacy/bolt_on/README.md
+++ b/privacy/bolt_on/README.md
@@ -12,7 +12,7 @@ This method uses 4 key steps to achieve privacy guarantees:
   2. Projects weights to R, the radius of the hypothesis space,
       after each batch. This value is configurable by the user.
   3. Limits learning rate
-  4. Use a strongly convex loss function (see compile)
+  4. Uses a strongly convex loss function (see compile)
 
 For more details on the strong convexity requirements, see:
 Bolt-on Differential Privacy for Scalable Stochastic Gradient