Arvind Narayanan — Princeton

Office: 308 Sherrerd

Press: please email before

Twitter: @random_walker

I'm an associate professor of computer science at Princeton. I research and teach information privacy and security, and moonlight in technology policy.

I'm affiliated with Princeton's Center for Information Technology Policy, the Bendheim Center for Finance, and Stanford Law School's CIS. I did my Ph.D. at UT Austin and post-​doctoral work at Stanford. (Bio)

I have three major research areas. I'm always looking for strong students to join the team.

Web privacy

I lead Princeton's Web Transparency and Accountability Project. We use large-scale, automated web measurement to uncover how companies collect and use our personal information.

Previously I helped develop the Do Not Track standard and worked on privacy-enhancing technologies for the web.

» see in depth

Data privacy & ethics

I've shown how machine learning can be used to infer sensitive info from seemingly innocuous "anonymized" data, ranging from browsing histories to genomes.

The risks of machine learning go beyond privacy: in a paper in Science we showed how AI technologies reflect racial, gender, & other biases in our culture.

» see in depth

Bitcoin and cryptocurrencies

We've developed an online course and accompanying textbook on Bitcoin and cryptocurrencies, as well as a systematization​-​of-knowledge paper.

We've built BlockSci for fast & expressive blockchain analysis. We also have several ongoing projects on cryptocurrency security, anonymity, and stability.

» see in depth