{
  "abstract": "In a membership inference attack, an attacker is given the data of a particular individual, and tries to determine if that individual was included in a particular dataset, given some kind of statistics derived from the dataset or a model trained on the dataset. Roughly, a membership inference attack is robust if it succeeds even when the statistics are highly noisy, regardless of how that noise is introduced. We give a simple presentation of robust membership inference attacks for mean estimation, covering both multivariate Gaussian distributions and binary product distributions. We also give a summary of the literature on robust membership inference, covering history, extensions, and connections to other research areas.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.36458",
  "author_total": 5,
  "authors": [
    {
      "name": "Renaud Gaucher"
    },
    {
      "name": "Ephraim Linder"
    },
    {
      "name": "Adam Smith"
    },
    {
      "name": "Jonathan Ullman"
    },
    {
      "name": "Lydia Zakynthinou"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5tygz6bfff6j4.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.36458",
  "fulltext_url": null,
  "id": "5tygz6bfff6j4",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.36458",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.CR"
    ],
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      "arxiv",
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    ],
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      "arxiv",
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      "arxiv",
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      "arxiv",
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      "1702|Privacy-Preserving Technologies in Data"
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  "openalex": "W7224111282",
  "pdf_url": "https://arxiv.org/pdf/2610.36458",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-27",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/5tygz6bfff6j4.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:35:53Z",
      "native_id": "2610.36458",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.36458"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:math.ST",
      "subfield": "statistics"
    }
  ],
  "title": "A Simple Presentation of Robust Membership Inference Attacks",
  "title_text": "A Simple Presentation of Robust Membership Inference Attacks",
  "type": "preprint",
  "updated_at": "2026-10-30T12:35:59Z",
  "url": "https://research.draconitic.com/paper/5tygz6bfff6j4",
  "venue": "arXiv",
  "versions": []
}