Towards Safer Smart Contracts: A Sequence Learning Approach to Detecting Security Threats

16 November 2018

Papers citing "Towards Safer Smart Contracts: A Sequence Learning Approach to Detecting Security Threats"

7 / 7 papers shown

Title
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection Zhenguang Liu Peng Qian Xiaoyang Wang Yuan Zhuang Lin Qiu Xun Wang 11 205 0 24 Jul 2021
On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda Konstantin D. Pandl Scott Thiebes Manuel Schmidt-Kraepelin Ali Sunyaev 30 69 0 29 Jan 2020
An Overview on Smart Contracts: Challenges, Advances and Platforms Zibin Zheng Shaoan Xie Hongning Dai Weili Chen Xiangping Chen J. Weng Muhammad Imran AILaw 14 782 0 22 Dec 2019
A Data Science Approach for Honeypot Detection in Ethereum R. Camino Tim Kahlke Mathis Baden R. State 21 15 0 03 Oct 2019
A Survey on Ethereum Systems Security: Vulnerabilities, Attacks and Defenses Huashan Chen Marcus Pendleton Laurent L. Njilla Shouhuai Xu 15 440 0 13 Aug 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015