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Arvind Narayanan

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


Interests: privacy, security, tech policy, cryptography, social networks

Research Areas:

Active Research Projects:

Short Bio

Arvind Narayanan joined the department as an assistant professor in 2012. He earned his doctorate from the University of Texas, Austin, in 2009 and did post-doctoral work at Stanford University. He studies information privacy and security and has a side interest in technology policy. His research has shown that data anonymization is broken in fundamental ways, for which he jointly received the 2008 Privacy Enhancing Technologies Award. He leads the Princeton Web Transparency and Accountability project, which aims to uncover how companies are collecting and using our personal information. He also studies the security and stability of Bitcoin and cryptocurrencies.

Professor Narayanan is an affiliated faculty member at the Center for Information Technology Policy at Princeton and an affiliate scholar at Stanford Law School's Center for Internet and Society. You can follow him on Twitter at @random_walker.

Selected Publications

  • “The Web never forgets: Persistent tracking mechanisms in the wild.” Gunes Acar, Christian Eubank, Steven Englehardt, Marc Juarez, Arvind Narayanan, Claudia Diaz. ACM Conference on Computer and Communications Security, 2014.
  • “Mixcoin: Anonymity for Bitcoin with accountable mixes.” Joseph Bonneau, Arvind Narayanan, Andrew Miller, Jeremy Clark, Joshua A. Kroll, Edward W. Felten. Financial Cryptography, 2014
  • “Routes for breaching and protecting genetic privacy.” Yaniv Erlich, Arvind Narayanan. Nature Reviews Genetics, 2014.
  • “What Happened to the Crypto Dream?” Arvind Narayanan. IEEE Security and Privacy Magazine, 2013.
  • “Link Prediction by De-anonymization: How We Won the Kaggle Social Network Challenge.” Arvind Narayanan, Elaine Shi, Benjamin I. P. Rubinstein. International Joint Conference on Neural Networks 2011.
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