Lanturn: Measuring Economic Security of Smart Contracts Through Adaptive Learning-Reference-Cited by-同舟云学术

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Lanturn: Measuring Economic Security of Smart Contracts Through Adaptive Learning

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
language:
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Author:

Babel Kushal¹^ORCID,Javaheripi Mojan²^ORCID,Ji Yan¹^ORCID,Kelkar Mahimna¹^ORCID,Koushanfar Farinaz²^ORCID,Juels Ari¹^ORCID

Affiliation:

1. Cornell Tech & IC3, New York, NY, USA

2. University of California San Diego, La Jolla, CA, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576915.3623204

Reference45 articles.

1. Aave. Protocol whitepaper 2.0, 2020. https://github.com/aave/protocol-v2/blob/ master/aave-v2-whitepaper.pdf.

2. Hayden Adams. Uniswap docs, 2023. https://uniswap.org/docs.

3. Hayden Adams, Noah Zinsmeister, Moody Salem, River Keefer, and Dan Robinson. Uniswap v3 core, 2021. https://uniswap.org/whitepaper-v3.pdf.

4. Andreas A Aigner and Gurvinder Dhaliwal. Uniswap: Impermanent loss and risk profile of a liquidity provider. arXiv preprint arXiv:2106.14404, 2021.

5. Kushal Babel, Philip Daian, Mahimna Kelkar, and Ari Juels. Clockwork finance: Automated analysis of economic security in smart contracts. In IEEE S&P, 2023.

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