Who Cited It

Ian Goodfellow

medium confidence · 9 work(s) in this corpus · 84,331 citations across 103 works in OpenAlex · ORCID 0000-0003-3937-2322

Ian GoodfellowIan GoodfellowNicolas Papernot — 3 shared work(s)Nicolas PapernotPatrick McDaniel — 3 shared work(s)Patrick McDanielAaron Courville — 2 shared work(s)Aaron CourvilleChristian Szegedy — 2 shared work(s)Christian SzegedyAlexey Kurakin — 2 shared work(s)Alexey KurakinYoshua Bengio — 2 shared work(s)Yoshua BengioSamy Bengio — 1 shared work(s)Samy BengioJonathon Shlens — 1 shared work(s)Jonathon ShlensAnanthram Swami — 1 shared work(s)Ananthram SwamiMartı́n Abadi — 1 shared work(s)Martı́n AbadiLi Zhang — 1 shared work(s)Li ZhangDumitru Erhan — 2 shared work(s)Dumitru ErhanRob Fergus — 1 shared work(s)Rob FergusDan Boneh — 1 shared work(s)Dan BonehSomesh Jha — 1 shared work(s)Somesh JhaPierre Carrier — 1 shared work(s)Pierre CarrierMehdi Mirza — 1 shared work(s)Mehdi MirzaBen Hamner — 1 shared work(s)Ben HamnerWill Cukierski — 1 shared work(s)Will CukierskiYichuan Tang — 1 shared work(s)Yichuan TangDavid S. Thaler — 1 shared work(s)Dong‐Hyun Lee — 1 shared work(s)Dong‐Hyun LeeYingbo Zhou — 1 shared work(s)Yingbo ZhouChetan Ramaiah — 1 shared work(s)Chetan Ramaiah
24 of 46 collaborators, ranked by collaboration weight rather than by shared-paper count. Dashed lines are collaborations between the collaborators. See how the weight is computed.
  1. Nicolas Papernot
  2. Patrick McDaniel
  3. Aaron Courville
  4. Christian Szegedy
  5. Alexey Kurakin
  6. Yoshua Bengio
  7. Samy Bengio
  8. Jonathon Shlens
  9. Ananthram Swami
  10. Martı́n Abadi
  11. Li Zhang
  12. Dumitru Erhan
  13. Rob Fergus
  14. Dan Boneh
  15. Somesh Jha
  16. Pierre Carrier
  17. Mehdi Mirza
  18. Ben Hamner
  19. Will Cukierski
  20. Yichuan Tang
  21. David S. Thaler
  22. Dong‐Hyun Lee
  23. Yingbo Zhou
  24. Chetan Ramaiah
Ian Goodfellow collaborator line weight = collaboration weight

Works in this corpus

TitlePositionYearCited
Deep Learningfirst20168,952
Explaining and Harnessing Adversarial Examplesfirst20148,146
Deep Learning with Differential Privacymiddle20166,220
Intriguing properties of neural networksmiddle20135,739
Practical Black-Box Attacks against Machine Learningmiddle20173,540
Ensemble Adversarial Training: Attacks and Defensesmiddle20171,861
Adversarial Examples in the Physical Worldmiddle20181,842
Challenges in Representation Learning: A Report on Three Machine Learning Contestsfirst20131,588
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Sampleslast20161,416

Is this one person?

This record is probably one person, but at least one signal is weak. Check the evidence below before relying on the totals.

  • supportsAn ORCID is claimed by a person, not inferred, so it is the only identity assertion here that a human made.
  • weakens4 distinct name form(s) across this row's works. Several unrelated spellings is the usual shape of two people sharing one record.
  • supportsAt most 4 distinct institution(s) inside any five-year window, which is a normal career.
  • supports96% of this row's works sit in its single largest field.
  • neutralConfidence is judged on the 9 work(s) this corpus holds, not on the author's whole output. A single-work row carries little evidence either way.

Affiliations

OpenAI (United States) (2016–2017), Alphabet (United States) (2017–2017), Google (United States) (2014–2016), Université de Montréal (2013–2013)

In this corpus

h-index 9 over the works held here, which is a number about this corpus and not about a career.

OpenAlex record