Add some abstracts

private-attribution · Jul 8, 2024 · 4023c63 · 4023c63
1 parent 5ea6c75
commit 4023c63
Show file tree

Hide file tree

Showing 2 changed files with 12 additions and 3 deletions.
diff --git a/draft-case-ppm-binomial-dp.md b/draft-case-ppm-binomial-dp.md
@@ -74,14 +74,18 @@ informative:
 
 --- abstract
 
-TODO
+A method for computing a binomial noise in Multiparty Computation (MPC) is
+described.  The binomial mechanism for differential privacy (DP) is a simple
+mechanism that is well suited to MPC, where computation of more complex
+algorithms can be expensive.  This document describes how to select the correct
+parameters and apply binomial noise in MPC.
 
 
 --- middle
 
 # Introduction
 
-Using multiparty computation (MPC) to compute aggregate statistics has some very
+Using Multiparty Computation (MPC) to compute aggregate statistics has some very
 promising privacy characteristics. MPC provides strong assurances about the
 confidentiality of input values, relying only on the assumption that the parties
 performing the computation do not collude. Depending on the MPC system in use,

diff --git a/draft-savage-ppm-3phm-mpc.md b/draft-savage-ppm-3phm-mpc.md
@@ -49,7 +49,12 @@ informative:
 
 --- abstract
 
-TODO
+A three party, honest majority system provides the most efficient protocols for
+Multiparty Computation (MPC).  This document describes a concrete instantiation
+of addition and multiplication protocols that provide strong guarantees of
+security.  The multiplication protocol provides low communication and
+computation costs, with addition being almost free.  Any single dishonest party
+is detected with high probability.
 
 --- middle