\begin{thebibliography}{1}

\bibitem{9678888}
Jaeseung Choi, Doyeon Kim, Soomin Kim, Gustavo Grieco, Alex Groce, and Sang~Kil
  Cha.
\newblock Smartian: Enhancing smart contract fuzzing with static and dynamic
  data-flow analyses.
\newblock In {\em 2021 36th IEEE/ACM International Conference on Automated
  Software Engineering (ASE)}, pages 227--239, 2021.

\bibitem{217464}
Johannes Krupp and Christian Rossow.
\newblock {teEther}: Gnawing at ethereum to automatically exploit smart
  contracts.
\newblock In {\em 27th USENIX Security Symposium (USENIX Security 18)}, pages
  1317--1333, Baltimore, MD, August 2018. USENIX Association.

\bibitem{10.1145/3578527.3578538}
Siddhasagar Pani, Harshita~Vani Nallagonda, Vigneswaran, Raveendra~Kumar
  Medicherla, and Rajan M.
\newblock Smartfuzzdrivergen: Smart contract fuzzing automation for golang.
\newblock In {\em Proceedings of the 16th Innovations in Software Engineering
  Conference}, ISEC '23, New York, NY, USA, 2023. Association for Computing
  Machinery.

\bibitem{10.1145/3243734.3243780}
Petar Tsankov, Andrei Dan, Dana Drachsler-Cohen, Arthur Gervais, Florian
  B\"{u}nzli, and Martin Vechev.
\newblock Securify: Practical security analysis of smart contracts.
\newblock In {\em Proceedings of the 2018 ACM SIGSAC Conference on Computer and
  Communications Security}, CCS '18, page 67–82, New York, NY, USA, 2018.
  Association for Computing Machinery.

\end{thebibliography}