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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
ArXivPDFHTML

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

4 / 4 papers shown
Title
Knowledge Migration Framework for Smart Contract Vulnerability Detection
Knowledge Migration Framework for Smart Contract Vulnerability Detection
Luqi Wang
Wenbao Jiang
89
0
0
15 Dec 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
13
46
0
23 Mar 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
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
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
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