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Arvind Narayanan

Photo of Arvind Narayanan
Title/Position
Associate Professor
Degree
Ph.D., University of Texas, Austin, 2009
arvindn  (@cs.princeton.edu) (609) 258-9302 308 Sherrerd Hall
Other Affiliations

Research

Interests: Information privacy, fairness in machine learning, cryptocurrencies, tech policy

Research Areas:

Active Research Projects:

Short Bio

Arvind Narayanan is an Associate Professor of Computer Science at Princeton. He leads the Princeton Web Transparency and Accountability Project to uncover how companies collect and use our personal information. Narayanan co-created a Massive Open Online Course and textbook on Bitcoin and cryptocurrency technologies which has been used in over 150 courses worldwide. His recent work has shown how machine learning reflects cultural stereotypes, and his doctoral research showed the fundamental limits of de-identification. Narayanan is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), twice recipient of the Privacy Enhancing Technologies Award, and thrice recipient of the Privacy Papers for Policy Makers Award.

Selected Publications

  • Arunesh Mathur, Gunes Acar, Michael Friedman, Elena Lucherini, Jonathan Mayer, Marshini Chetty, Arvind Narayanan.
    Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites.
    ACM Conference on Computer-Supported Cooperative Work and Social Computing, 2019.
    Privacy Papers for Policy Makers Award.
  • Aylin Caliskan, Joanna J. Bryson, Arvind Narayanan.
    Semantics derived automatically from language corpora contain human-like biases.
    Science, 2017.
    http://opus.bath.ac.uk/55288/4/CaliskanEtAl_authors_full.pdf
  • Arvind Narayanan, Joseph Bonneau, Edward W. Felten, Andrew Miller, Steven Goldfeder.
    Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction.
    Princeton University Press, 2016.
    Runner up for the 2017 PROSE Award in Computing and Information Sciences, Association of American Publishers.
    Preprint: https://d28rh4a8wq0iu5.cloudfront.net/bitcointech/readings/princeton_bitcoin_book.pdf
  • Steven Englehardt, Arvind Narayanan.
    Online tracking: A 1-million-site measurement and analysis.
    ACM Conference on Computer and Communications Security, 2016.
    Privacy Papers for Policy Makers Award.
    http://randomwalker.info/publications/OpenWPM_1_million_site_tracking_measurement.pdf
  • Miles Carlsten, Harry Kalodner, S. Matthew Weinberg, Arvind Narayanan.
    On the instability of Bitcoin without the block reward.
    ACM Conference on Computer and Communications Security 2016.
    http://randomwalker.info/publications/mining_CCS.pdf
  • Arvind Narayanan, Joanna Huey, Edward Felten.
    A Precautionary Approach to Big Data Privacy.
    Data protection on the move 2016.
    Privacy Papers for Policy Makers Award.
    http://randomwalker.info/publications/precautionary.pdf
  • Joseph Bonneau, Andrew Miller, Jeremy Clark, Joshua Kroll, Edward W. Felten, Arvind Narayanan.
    Research Perspectives and Challenges for Bitcoin and Cryptocurrencies.
    IEEE Security & Privacy 2015.
    Most cited computer security & privacy paper of 2015.
    http://www.jbonneau.com/doc/BMCNKF15-IEEESP-bitcoin.pdf
  • Gunes Acar, Christian Eubank, Steven Englehardt, Marc Juarez, Arvind Narayanan, Claudia Diaz.
    The Web never forgets: Persistent tracking mechanisms in the wild.
    ACM Conference on Computer and Communications Security (CCS) 2014.
    https://securehomes.esat.kuleuven.be/~gacar/persistent/the_web_never_forgets.pdf
  • Yaniv Erlich, Arvind Narayanan.
    Routes for breaching and protecting genetic privacy.
    Nature Reviews Genetics, 2014.
  • Suman Jana, Arvind Narayanan, Vitaly Shmatikov.
    A Scanner Darkly: Protecting User Privacy from Perceptual Applications.
    In IEEE Security and Privacy 2013.
    2014 Privacy Enhancing Technologies Award.
    https://www.cs.cornell.edu/~shmat/shmat_oak13darkly.pdf
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