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Researcher · University of Toronto · Canada

Nicolas Papernot

Nicolas Papernot publishes mostly in Artificial Intelligence, Signal Processing and Computer Networks and Communications, on topics such as Adversarial Robustness in Machine Learning, Privacy-Preserving Technologies in Data and Anomaly Detection Techniques and Applications.

World rank
#12,645
of 1,633,909 ranked researchers
Rank in Canada
#333
of 38,960
Works
57
Citations
1k
Citations per work
17.9

What does Nicolas Papernot research?

Artificial Intelligence: 66.2%Signal Processing: 7.8%Computer Networks and Communications: 3.9%Management Science and Operations Research: 3.9%other fields: 18.2%66%top field
Artificial Intelligence66.2%Signal Processing7.8%Computer Networks and Communications3.9%Management Science and Operations Research3.9%other fields18.2%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence66% of their works
  2. 2Signal Processing8% of their works
  3. 3Computer Networks and Communications4% of their works
  4. 4Management Science and Operations Research4% of their works
  5. 5Economics and Econometrics4% of their works
  6. 6Safety Research4% of their works

Research topics

Which keywords describe Nicolas Papernot's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Neural Networks, Adversarial Examples, Robustness, Differential Privacy, Federated Learning and Surveillance.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 21 words, with their numbers
  1. Machine Learning374 topics
  2. Deep Learning313 topics
  3. Neural Networks252 topics
  4. Adversarial Examples171 topic
  5. Robustness171 topic
  6. Differential Privacy111 topic
  7. Federated Learning111 topic
  8. Surveillance112 topics
  9. Anomaly Detection81 topic
  10. Unsupervised81 topic
  11. Android Malware61 topic
  12. Detection61 topic
  13. Deep Neural Networks52 topics
  14. Ethics31 topic
  15. Fairness31 topic
  16. Interpretable Models31 topic
  17. Machine Learning Interpretability31 topic
  18. Acoustic Modeling21 topic
  19. Homomorphic Encryption21 topic
  20. Identity-Based Encryption21 topic
  21. Speaker Verification21 topic

Where does Nicolas Papernot work?

Nicolas Papernot's main affiliation in the publication record is University of Toronto, Canada.

How many publications and citations does Nicolas Papernot have?

Science Explorer counts 57 works and 1,021 citations for Nicolas Papernot, ranking #12,645 of 1,633,909 researchers worldwide on the composite score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.