The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing

Meenatchi Sundaram Muthu Selva Annamalai, Borja Balle, Jamie Hayes, Georgios Kaissis, Emiliano De Cristofaro
6/20/2025
cs.CRcs.LG

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Abstract

In this paper, we systematize research on auditing Differential Privacy (DP) techniques, aiming to identify key insights and open challenges. First, we introduce a comprehensive framework for reviewing work in the field and establish three cross-contextual desiderata that DP audits should target -- namely, efficiency, end-to-end-ness, and tightness. Then, we systematize the modes of operation of state-of-the-art DP auditing techniques, including threat models, attacks, and evaluation functions. This allows us to highlight key details overlooked by prior work, analyze the limiting factors to achieving the three desiderata, and identify open research problems. Overall, our work provides a reusable and systematic methodology geared to assess progress in the field and identify friction points and future directions for our community to focus on.

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Cite this paper

@article{annamalai2025hitchhikers,
  title  = {The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing},
  author = {Meenatchi Sundaram Muthu Selva Annamalai and Borja Balle and Jamie Hayes and Georgios Kaissis and Emiliano De Cristofaro},
  year   = {2025},
  eprint = {2506.16666},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2506.16666v3}
}

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