AMR:Autonomous Coin Mixer with Privacy Preserving Reward Distribution
Duc V. Le, Arthur Gervais

TL;DR
This paper introduces AMR, a censorship-resistant, privacy-preserving autonomous coin mixer that rewards users, supports large anonymity sets, and enables earning interest through DeFi integrations, enhancing privacy and decentralization.
Contribution
First autonomous, censorship-resilient coin mixer that offers privacy-preserving rewards and DeFi interest earning, supporting large-scale anonymity sets on Ethereum.
Findings
Supports over 1,000 users in anonymity set
Handles over $66,000 deposits daily
Supports privacy-preserving reward distribution
Abstract
It is well known that users on open blockchains are tracked by an industry providing services to governments, law enforcement, secret services, and alike. While most blockchains do not protect their users' privacy and allow external observers to link transactions and addresses, a growing research interest attempts to design add-on privacy solutions to help users regain their privacy on non-private blockchains. In this work, we propose to our knowledge the first censorship resilient mixer, which can reward its users in a privacy-preserving manner for participating in the system. Increasing the anonymity set size, and diversity of users, is, as we believe, an important endeavor to raise a mixer's contributed privacy in practice. The paid-out rewards can take the form of governance tokens to decentralize the voting on system parameters, similar to how popular "DeFi farming" protocols…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBlockchain Technology Applications and Security · Advanced Steganography and Watermarking Techniques · User Authentication and Security Systems
