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It is well known that users on open blockchains are tracked by an industryproviding services to governments, law enforcement, secret services, and alike.While most blockchains do not protect their users' privacy and allow externalobservers to link transactions and addresses, a growing research interestattempts to design add-on privacy solutions to help users regain their privacyon non-private blockchains.  In this work, we propose to our knowledge the first censorship resilientmixer, which can reward its users in a privacy-preserving manner forparticipating in the system. Increasing the anonymity set size, and diversityof users, is, as we believe, an important endeavor to raise a mixer'scontributed privacy in practice. The paid-out rewards can take the form ofgovernance tokens to decentralize the voting on system parameters, similar tohow popular "DeFi farming" protocols operate. Moreover, by leveraging existing"Defi" lending platforms, AMR is the first mixer design that allowsparticipating clients to earn financial interests on their deposited funds.  Our system AMR is autonomous as it does not rely on any external server orthird party. The evaluation of our AMR implementation shows that the systemsupports today on Ethereum anonymity set sizes beyond thousands of users, and acapacity of over $66,000$ deposits per day, at constant system costs. Weprovide a formal specification of our zksnark-based AMR system, a privacy andsecurity analysis, implementation, and evaluation with both the MiMC andPoseidon hash functions.

AMR:Autonomous Coin Mixer with Privacy Preserving Reward Distribution