Arvind Narayanan is an Assistant Professor at Princeton's Department of Computer Science and Center for Information Technology Policy and an Affiliate Scholar at the Stanford Law School Center for Internet and Society. He studies information privacy and security, and has a side-interest in tech 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 is one of the researchers behind the "Do Not Track" proposal. You can follow Arvind on Twitter at @random_walker and on Google+ here.
Arvind Narayanan
Recent articles
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The Quiet Growth of Race-Detection Software Sparks Concerns Over Bias
"Using AI to identify ethnicity “seems more likely to harm than help,” says Arvind Narayanan, a computer science professor at Princeton University who has…
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How Zoom Colonized Our Lives
"Arvind Narayanan, who leads Princeton’s Web Transparency and Accountability Project, had heard chatter about Zoom for some time, but it was only when the…
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Quibi, JetBlue and Others Gave Away Email Addresses, Report Says
"Privacy experts have raised concerns about leaks of personal information for more than a decade, said Arvind Narayanan, a computer science professor at Pr…
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Worried about Zoom's privacy problems? A guide to your video-conferencing options
"Privacy-minded consumers should consider video chat options carefully, said Arvind Narayanan, an associate computer science professor at Princeton Univers…
Vulnerability reporting is dysfunctional
In January, we released a study showing the ease of SIM swaps at five U.S. prepaid carriers. These attacks—in which an adversary tricks telecoms into moving th…
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Can YouTube Quiet Its Conspiracy Theorists?
"“To me, a more interesting question is, ‘What effect does the promotion of conspiracy videos via YouTube have on people and society?’” Mr. Narayanan said…
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SMS a weak link in two-factor authentication: data guru
"Narayanan, who was participating in the Cryptographers' Panel at the RSA Conference in San Francisco this week, was responding to a prompt from panel…
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Job hunters face a new hurdle: Impressing AI
"Asked whether he rebuffed HireVue's overture, Narayanan forwarded his email exchange with the company to CBS MoneyWatch. Instead of a private discussi…
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The hits and misses of using Artificial intelligence for recruitment
"Arvind Narayanan, a computer science professor at Princeton University, puts it more succinctly, “Much of what’s being sold as ‘AI’ today is snake oil — i…
An Empirical Study of Wireless Carrier Authentication for SIM Swaps
Abstract We examined the authentication procedures used by five prepaid wireless carriers when a customer attempted to change their SIM card. These procedures…
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How ‘dark patterns’ influence travel bookings
"Arvind Narayanan, associate professor of computer science at Princeton, has worked with graduate student Mathur on unearthing dark patterns found on retai…
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How to recognize AI snake oil
"Princeton computer scientist Arvind Narayanan (previously) has posted slides and notes from a recent MIT talk on "How to recognize AI snake oil"…