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DLVA

The Deep Learning Vulnerability Analyzer (DLVA) was presented in the paper "Smart Learning to Find Dumb Contracts" at USENIX Security'23 Conference by Tamer Abdelaziz and Aquinas Hobor.

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Requirements

  • Hardware dependencies: The test machine is a desktop with a 12-core 3.2 GHz Intel(R) Core(TM) i7-8700 and 16 GB of memory.

  • Software dependencies: Ubuntu OS and Docker should be installed.

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Usage

You can access the DLVA running instructions here: https://secartifacts.github.io/usenixsec2023/appendix-files/sec23winterae-final67.pdf

To reference the paper, use this link: https://www.usenix.org/system/files/usenixsecurity23-abdelaziz.pdf which is presented at the 32nd USENIX Security Symposium (USENIX Security 23) in 2023.

An extended version of the paper can be found here: https://arxiv.org/abs/2304.10726

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DLVA is licensed under the MIT License: https://github.com/TamerNUS/DLVA/blob/main/LICENSE

For any questions, feel free to reach out to me via email at [email protected]

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dlva's People

Contributors

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Watchers

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