Nov 16, 2023 · In this paper, we propose a vulnerability detection model (VDM-AEI) based on automatic feature extraction and feature interaction.

In this work, we propose a vulnerability detection model based on deep learning and feature interaction, aiming to improve the efficiency and accuracy of smart ...

In this paper, we propose a vulnerability detection model (VDM-AEI) based on automatic feature extraction and feature interaction. For the first time, this ...

In this paper, we propose a vulnerability detection model (VDM-AEI) based on automatic feature extraction and feature interaction. For the first time, this ...

Sep 1, 2024 · Smart Contract Vulnerability Detection Based on Automated Feature Extraction and Feature Interaction · Abstract · References (52) · Full-text links.

May 15, 2024 · Our method was tested on three types of data: Timestamp vulnerabilities, reentrancy vulnerabilities, and access control vulnerabilities.

Aug 18, 2023 · This paper proposes a smart contract vulnerability detection method based on deep learning and multimodal decision fusion.

Jul 8, 2024 · In particular, the popularity of CNNs, LSTMs and GNNs suggests the necessity of models capable of handling complex feature extraction ...

This paper introduces a smart contract vulnerability detection method founded on multimodal feature fusion.

Feb 27, 2024 · In this manuscript, pioneering automated vulnerability detection for smart contracts in blockchain using KEVM: Guardian ADRGAN (ADRGAN-SCB-KEVM) is proposed.