@techreport{pfeiffenberger-prtokens-00,
    number =    {draft-pfeiffenberger-prtokens-00},
    type =      {Internet-Draft},
    institution =   {Internet Engineering Task Force},
    publisher = {Internet Engineering Task Force},
    note =      {Work in Progress},
    url =       {https://datatracker.ietf.org/doc/draft-pfeiffenberger-prtokens/00/},
    author =    {Philipp Pfeiffenberger and Jonathan Katz and Theodore Olsauskas-Warren},
    title =     {{Probabilistic Reveal Tokens}},
    pagetotal = 16,
    year =      2025,
    month =     jul,
    day =       21,
    abstract =  {Fraud detection often relies on high-entropy signals that can also be used to track users across sites. Probabilistic Reveal Tokens (PRTs) attempt to balance the needs of fraud detection and tracking prevention by sampling at a rate that is too low for scaled cross- site tracking, but sufficient for fraud detection in aggregate scenarios. This document describes the PRT protocol, which allows browsers to reveal sensitive signals (e.g., IP address) on a per-site basis with provable probability p\_reveal, while websites can use PRTs to measure traffic quality and update denylists.},
}