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Hessian Center for Artificial Intelligence

Germany

9 papers here175 citations across 9
fields
  • cs.LG3
  • cs.RO2
  • cs.CL1
  • cs.CV1
  • cs.PL1
  • cs.SE1
ROR 014ybqb54OpenAlex

affiliations via OpenAlex

output
20212025
most citedLearning to Break Deep Perceptual Hashing: The Use Case NeuralHash

140 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • Cedric Derstroff2 profiles2 · h 1
  • Jannis Brugger2 · h 3
  • Jan Peters2 profiles2 · h 4
  • Mira Mezini2 profiles2 · h 4
  • Stefan Kramer2 · h 2
  • Alap Kshirsagar1 · h 8
  • Allison Lahnala1 · h 9
  • Annette Bieniusa1 · h 12
  • Arthur Aubret1 · h 6
  • Charles F Welch1 · h 13
  • Daniel Maninger1 · h 2
  • David Jurgens1 · h 44
collaborating institutions
  • Technische Universität DarmstadtDE7 papers
  • German Research Centre for Artificial IntelligenceDE3 papers
  • Hess (United States)US3 papers
  • Johannes Gutenberg University MainzDE2 papers
  • Carl von Ossietzky Universität OldenburgDE1 paper
  • Frankfurt Institute for Advanced StudiesDE1 paper
  • Goethe University FrankfurtDE1 paper
  • Max Planck Institute for Software SystemsDE1 paper
  • Philipps University of MarburgDE1 paper
  • Rheinland-Pfälzische Technische Universität Kaiserslautern-LandauDE1 paper
  • University of KaiserslauternDE1 paper
  • University of Koblenz and LandauDE1 paper
Showing 2021Show all

1 paper · 1 filter

cs.LG2021★ 140 cited

Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash

Lukas Struppek, Dominik Hintersdorf, Daniel Neider +1

Apple recently revealed its deep perceptual hashing system NeuralHash to detect child sexual abuse material (CSAM) on user devices before files are uploaded to its iCloud service.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.