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UID:pretalx-ethprague-2026-XH3GVQ@cfp.ducttape.events
DTSTART;TZID=CET:20260509T153000
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DESCRIPTION:Public blockchains expose transaction histories that enable add
 ress clustering\, taint propagation\, and cross-service attribution\, moti
 vating a diverse ecosystem of mixers and privacy layers. This paper presen
 ts a structured scoping review of 22 representative systems and systematiz
 es them through a common unlinkability objective\, five adversary archetyp
 es\, and an attack-surface matrix spanning chain analytics\, timing infere
 nce\, custodial compromise\, coordination abuse\, network metadata\, and t
 rusted-execution failures. The systems reviewed cover custodial Bitcoin mi
 xers\, coordinator-based protocols\, Ethereum smart-contract mixers\, priv
 acy-layer protocols\, privacy-native currencies\, confidential-execution p
 latforms\, and exchange-mediated obfuscation. Across these families\, the 
 main finding is that nominal anonymity and cryptographic strength are poor
  proxies for real privacy unless operational factors such as denomination 
 structure\, cover-traffic volume\, relayer behavior\, and compliance inter
 faces are modeled explicitly. By contrasting nominal and effective anonymi
 ty and by positioning recent compliance-aware designs alongside classical 
 mixers\, we derive four design lessons for privacy-preserving blockchain s
 ystems: privacy should be pooled rather than exceptional\, trust anchors s
 hould be stated explicitly\, metadata leakage must be treated as part of t
 he protocol\, and compliance should be narrowed to auditable predicates ra
 ther than broad operator discretion. The resulting systematization clarifi
 es where current systems succeed\, why they fail in practice\, and what ne
 xt-generation blockchain privacy architectures must improve.
DTSTAMP:20261017T235806Z
LOCATION:ETHRes
SUMMARY:Systematizing Cryptocurrency Mixing: From Cryptographic Claims to O
 perational Privacy - Juraj Mariani
URL:https://cfp.ducttape.events/ethprague-2026/talk/XH3GVQ/
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