Arvind Narayanan
Papers
1
Total Citations
149
H-Index
1
About
Arvind Narayanan is a leading computer scientist whose research spans the critical intersection of privacy, security, and fairness in digital systems. He is best known for pioneering work in de-anonymization, algorithmic fairness, and the societal impacts of artificial intelligence. His landmark paper, "A Scanner Darkly: Protecting User Privacy from Perceptual Applications" (2013, 149 citations), exposed the novel privacy risks posed by context-aware devices—such as smartphones and augmented-reality systems—that use cameras and sensors to observe their environment. In this work, Narayanan and his co-authors developed techniques to shield users from unintended surveillance, laying foundational groundwork for modern privacy-preserving systems. Beyond this, his broader contributions include seminal research on the limits of anonymization (notably the de-anonymization of the Netflix Prize dataset) and rigorous critiques of machine learning fairness metrics. With over 10,000 citations, Narayanan’s influence extends through his acclaimed Princeton University course "Bitcoin and Cryptocurrency Technologies" and his co-authored book of the same name. He is also a vocal advocate for responsible computing, regularly writing and speaking on the ethical dimensions of technology.
Research Focus
Key Achievements
Top Papers
- 1A Scanner Darkly: Protecting User Privacy from Perceptual Applications149 citations · 2013