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Multi-Class classification of vulnerabilities in Smart Contracts using
  AWD-LSTM, with pre-trained encoder inspired from natural language processing

Multi-Class classification of vulnerabilities in Smart Contracts using AWD-LSTM, with pre-trained encoder inspired from natural language processing

21 March 2020
Ajay K. Gogineni
S. Swayamjyoti
Devadatta Sahoo
K. Sahu
R. Kishore
ArXiv (abs)PDFHTML

Papers citing "Multi-Class classification of vulnerabilities in Smart Contracts using AWD-LSTM, with pre-trained encoder inspired from natural language processing"

3 / 3 papers shown
Title
Knowledge Migration Framework for Smart Contract Vulnerability Detection
Knowledge Migration Framework for Smart Contract Vulnerability Detection
Luqi Wang
Wenbao Jiang
117
0
0
15 Dec 2024
Vulnerability Detection in Ethereum Smart Contracts via Machine
  Learning: A Qualitative Analysis
Vulnerability Detection in Ethereum Smart Contracts via Machine Learning: A Qualitative Analysis
Dalila Ressi
Alvise Spanò
Lorenzo Benetollo
Carla Piazza
M. Bugliesi
Sabina Rossi
67
5
0
26 Jul 2024
ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep
  Neural Network and Transfer Learning
ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning
O. Lutz
Huili Chen
Hossein Fereidooni
Christoph Sendner
Alexandra Dmitrienko
A. Sadeghi
F. Koushanfar
68
47
0
23 Mar 2021
1