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-rw-r--r--chapters/background/03-satisfiability-modulo-theories.tex2
1 files changed, 1 insertions, 1 deletions
diff --git a/chapters/background/03-satisfiability-modulo-theories.tex b/chapters/background/03-satisfiability-modulo-theories.tex
index bd90559..a55d54d 100644
--- a/chapters/background/03-satisfiability-modulo-theories.tex
+++ b/chapters/background/03-satisfiability-modulo-theories.tex
@@ -19,6 +19,6 @@ To represent a ReLU activation $y = \max(0, x)$ in LRA, we must introduce a disj
(x > 0 \land y = x) \lor (x \le 0 \land y = 0)
\end{equation}
For a network with $N$ ReLU neurons, there are up to $2^N$ possible activation patterns. Solving the
-verification property requires the SMT solver, such as Z3 presented by Demura et al.~\cite{demoura2008z3},
+verification property requires the SMT solver, such as Z3 presented by De Moura et al.~\cite{demoura2008z3},
to implicitly explore this branching search space.