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Paper detail

Maximizing Extractable Value from Automated Market Makers

Automated Market Makers (AMMs) are decentralized applications that allow users to exchange crypto-tokens without the need for a matching exchange order. AMMs are one of the most successful DeFi use cases: indeed, major AMM platforms process a daily volume of transactions worth USD billions. Despite their popularity, AMMs are well-known to suffer from transaction-ordering issues: adversaries can influence the ordering of user transactions, and possibly front-run them with their own, to extract value from AMMs, to the detriment of users. We devise an effective procedure to construct a strategy through which an adversary can maximize the value extracted from user transactions.

preprint2022arXivOpen access
Massimo BartolettiJames Hsin-yu ChiangAlberto Lluch-Lafuente
Computational Engineering, Finance, and ScienceCryptography and SecurityComputer Science and Game TheoryFormal Languages and Automata Theory
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Massimo BartolettiJames Hsin-yu ChiangAlberto Lluch-Lafuente

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