A
Arvind Narayanan
Researcher at Princeton University
Publications - 121
Citations - 17447
Arvind Narayanan is an academic researcher from Princeton University. The author has contributed to research in topics: Cryptocurrency & Information privacy. The author has an hindex of 49, co-authored 114 publications receiving 14143 citations. Previous affiliations of Arvind Narayanan include Santa Clara University & Indian Statistical Institute.
Papers
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Proceedings ArticleDOI
Robust De-anonymization of Large Sparse Datasets
TL;DR: This work applies the de-anonymization methodology to the Netflix Prize dataset, which contains anonymous movie ratings of 500,000 subscribers of Netflix, the world's largest online movie rental service, and demonstrates that an adversary who knows only a little bit about an individual subscriber can easily identify this subscriber's record in the dataset.
Journal ArticleDOI
Semantics derived automatically from language corpora contain human-like biases
TL;DR: This article showed that applying machine learning to ordinary human language results in human-like semantic biases and replicated a spectrum of known biases, as measured by the Implicit Association Test, using a widely used, purely statistical machine-learning model trained on a standard corpus of text from the World Wide Web.
Proceedings ArticleDOI
De-anonymizing Social Networks
TL;DR: A framework for analyzing privacy and anonymity in social networks is presented and a new re-identification algorithm targeting anonymized social-network graphs is developed, showing that a third of the users who can be verified to have accounts on both Twitter and Flickr can be re-identified in the anonymous Twitter graph.
Proceedings ArticleDOI
SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies
Joseph Bonneau,Joseph Bonneau,Joseph Bonneau,Andrew Miller,Jeremy Clark,Arvind Narayanan,Joshua A. Kroll,Edward W. Felten +7 more
TL;DR: In this paper, the authors provide a systematic exposition of Bit coin and the many related crypto currencies or "altcoins" and identify three key components of BitCoin's design that can be decoupled, which enables a more insightful analysis of Bitcoin's properties and future stability.
Book
Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction
TL;DR: The history and development of Bitcoin and cryptocurrencies are traced, and the conceptual and practical foundations you need to engineer secure software that interacts with the Bitcoin network are given as well as to integrate ideas from Bitcoin into your own projects.