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Cornell Tech

United States

46 papers here2.2k citations across 46
fields
  • cs.CV10
  • cs.HC10
  • cs.CY8
  • cs.CR5
  • cs.SI3
  • cs.LG2
  • cs.RO2
  • eess.SP2
ROR 04qscbg47OpenAlex

affiliations via OpenAlex

output
20142024
most citedStealing Machine Learning Models via Prediction APIs

733 citations

researchers with a paper here
  • Noah Snavely6 · h 75
  • Mor Naaman2 profiles4 · h 58
  • Thomas Ristenpart2 profiles4 · h 60
  • Hadar Averbuch-Elor2 profiles3 · h 19
  • H. Nissenbaum3 · h 47
  • Serge J. Belongie3 · h 106
  • A. Davis2
  • Charles Herrmann2 · h 15
  • Chen Wang2 · h 6
  • Christoph Studer2 profiles2 · h 50
  • Daniel Buschek2
  • Debargha Dey2
collaborating institutions
  • Cornell UniversityUS44 papers
  • Jacobs InstituteUS5 papers
  • Google (United States)US4 papers
  • Massachusetts Institute of TechnologyUS3 papers
  • Microsoft (United States)US3 papers
  • Stanford UniversityUS3 papers
  • Columbia UniversityUS2 papers
  • École Polytechnique Fédérale de LausanneCH2 papers
  • Eindhoven University of TechnologyNL2 papers
  • The Ohio State UniversityUS2 papers
  • The University of SydneyAU2 papers
  • University of BayreuthDE2 papers
Showing 2022 · cs.SIShow all

1 paper · 2 filters

cs.SI2022★ 13 cited

Stop the [Image] Steal: The Role and Dynamics of Visual Content in the 2020 U.S. Election Misinformation Campaign

Hana Matatov, Mor Naaman, Ofra Amir

Images are powerful. Visual information can attract attention, improve persuasion, trigger stronger emotions, and is easy to share and spread. We examine the characteristics of the…

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