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See also: Google scholar profile ★ = Peer reviewed |
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Primer
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Understanding Social Media Recommendation Algorithms
Arvind Narayanan. Knight First Amendment Institute, 2023. |
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Textbook
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Fairness and machine learning: limitations and opportunities
Solon Barocas, Moritz Hardt, Arvind Narayanan. MIT Press, forthcoming. Related: 21 definitions of fairness and their politics. Talk at FAT* 2018. |
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Journal
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Manipulative tactics are the norm in political emails: Evidence from 300K emails from the 2020 U.S. election cycle
Arunesh Mathur, Angelina Wang, Carsten Schwemmer, Maia Hamin, Brandon M. Stewart, Arvind Narayanan. Big Data & Society, 2023. Corpus. |
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Conference
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Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy
Angelina Wang, Sayash Kapoor, Solon Barocas, Arvind Narayanan. ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2023. |
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Journal
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Leakage and the Reproducibility Crisis in ML-based Science
Sayash Kapoor, Arvind Narayanan. Patterns, 2023. |
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Journal
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Security policy audits: why and how
Kevin Lee, Arvind Narayanan. IEEE Security & Privacy, 2023. |
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Conference
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How Algorithms Shape the Distribution of Political Advertising: Case Studies of Facebook, Google, and TikTok
Orestis Papakyriakopoulos, Christelle Tessono, Arvind Narayanan, Mihir Kshirsagar. AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) 2022. |
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Conference
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Password policies of most top websites fail to follow best practices
Kevin Lee, Sten Sjöberg, Arvind Narayanan. Symposium on Usable Privacy and Security (SOUPS) 2022. |
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Conference
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The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, Andrew Gelman, Arvind Narayanan. AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES), 2022. |
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Conference
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Mitigating dataset harms requires stewardship: Lessons from 1000 papers
Kenny Peng, Arunesh Mathur, Arvind Narayanan. Neural Information Processing Systems (NeurIPS) 2021. Oral presentation. |
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Workshop
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Simulation as Experiment: An Empirical Critique of Simulation Research on Recommender Systems
Amy A. Winecoff, Matthew Sun, Eli Lucherini, Arvind Narayanan. Workshop on Simulation Methods for Recommender Systems (SimuRec) 2021 |
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Journal
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REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
Angelina Wang, Alexander Liu, Ryan Zhang, Anat Kleiman, Leslie Kim, Dora Zhao, Iroha Shirai, Arvind Narayanan, Olga Russakovsky. International Journal of Computer Vision, 2022. Extended version of a paper that appeared at ECCV 2020. |
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Draft
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T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems
Eli Lucherini, Matthew Sun, Amy Winecoff, Arvind Narayanan. Manuscript, 2021. |
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Conference
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Resurrecting Address Clustering in Bitcoin
Malte Möser, Arvind Narayanan. Financial Cryptography and Data Security, 2022. |
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Manuscript
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Research on dark patterns: a case study of the Princeton CITP formula
Arvind Narayanan. Manuscript, 2021. |
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Conference
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Security and Privacy Risks of Number Recycling at Mobile Carriers in the United States
Kevin Lee, Arvind Narayanan. Symposium on electronic crime research (eCrime) 2021. Best student paper award. |
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Conference
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Virtual Classrooms and Real Harms: Remote Learning at US Universities
Shaanan Cohney, Ross Teixeira, Anne Kohlbrenner, Arvind Narayanan, Mihir Kshirsagar, Yan Shvartzshnaider, Madelyn Sanfilippo. Symposium on Usable Privacy and Security (SOUPS) 2021. |
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Conference
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Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset
Ryan Amos, Gunes Acar, Elena Lucherini, Mihir Kshirsagar, Arvind Narayanan, Jonathan Mayer. The Web Conference, 2021. |
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Conference
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REVISE: A Tool for Measuring and Mitigating Bias in Image Datasets
Angelina Wang, Arvind Narayanan, Olga Russakovsky. European Conference on Computer Vision (ECCV) 2020. Spotlight presentation. |
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Journal
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No boundaries: data exfiltration by third parties embedded on web pages
Gunes Acar, Steven Englehardt, Arvind Narayanan. Proceedings on Privacy Enhancing Technologies (PoPETs) 2020. Runner up for the 2020 CNIL-Inria Award for Privacy Protection. |
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Conference
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BlockSci: Design and applications of a blockchain analysis platform
Harry Kalodner, Malte Möser, Kevin Lee, Steven Goldfeder, Martin Plattner, Alishah Chator, Arvind Narayanan. Usenix Security Symposium, 2020. Blog post. |
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Magazine
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Dark Patterns: Past, Present, and Future
Arvind Narayanan, Arunesh Mathur, Marshini Chetty, Mihir Kshirsagar. ACM Queue, 2020. (Also appeared in CACM, 2020.) |
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Journal
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Measuring the predictability of life outcomes with a scientific mass collaboration
Matthew J. Salganik et al. Proceedings of the National Academy of Sciences 2020. |
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Conference
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An Empirical Study of Wireless Carrier Authentication for SIM Swaps
Kevin Lee, Ben Kaiser, Jonathan Mayer, Arvind Narayanan. Symposium on Usable Privacy and Security (SOUPS) 2020. |
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Draft
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Effective Cryptocurrency Regulation Through Blacklisting
Malte Moeser, Arvind Narayanan. Manuscript, 2019. |
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Conference
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Watching You Watch: The Tracking Ecosystem of Over-the-Top TV Streaming Devices
Hooman Mohajeri Moghaddam, Gunes Acar, Ben Burgess, Arunesh Mathur, Danny Yuxing Huang, Nick Feamster, Edward W. Felten, Prateek Mittal, Arvind Narayanan. ACM Conference on Computer and Communications Security 2019. Runner up for the Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies. |
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Conference
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Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites
Arunesh Mathur, Gunes Acar, Michael Friedman, Elena Lucherini, Jonathan Mayer, Marshini Chetty, Arvind Narayanan. ACM Conference on Computer-Supported Cooperative Work and Social Computing, 2019. FPF Privacy Papers for Policy Makers Award. |
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Workshop
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The Impact of User Location on Cookie Notices (Inside and Outside of the European Union)
Rob van Eijk, Hadi Asghari, Philipp Winter, Arvind Narayanan. Workshop on Technology and Consumer Protection (ConPro) 2019. |
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Manuscript
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Robust de-anonymization of large sparse datasets: a decade later
Arvind Narayanan, Vitaly Shmatikov. Manuscript, 2019. |
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Conference
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Formal Barriers to Longest-Chain Proof-of-Stake Protocols
Jonah Brown-Cohen, Arvind Narayanan, Christos-Alexandros Psomas, S. Matthew Weinberg. ACM Conference on Economics and Computation 2019. |
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Journal
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Keeping the Smart Home Private with Smart(er) IoT Traffic Shaping
Noah Apthorpe, Danny Yuxing Huang, Dillon Reisman, Arvind Narayanan, Nick Feamster. Proceedings on Privacy Enhancing Technologies (PoPETs) 2019. |
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Draft
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Identification of anonymous DNA using genealogical triangulation
Paul Ellenbogen, Arvind Narayanan. Manuscript, 2019. |
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Conference
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Endorsements on Social Media: An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest
Arunesh Mathur, Arvind Narayanan, Marshini Chetty. ACM Conference on Computer-Supported Cooperative Work and Social Computing 2018. Best paper award. Blog post. |
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Journal
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Privacy, ethics, and data access: A case study of the Fragile Families Challenge
Ian Lundberg, Arvind Narayanan, Karen Levy, Matthew J. Salganik. Socius 2019. Blog post. |
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Conference
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Characterizing the Use of Browser-Based Blocking Extensions To Prevent Online Tracking
Arunesh Mathur, Jessica Vitak, Arvind Narayanan, Marshini Chetty. Symposium on Usable Privacy and Security (SOUPS) 2018. |
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Workshop
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Web-based Attacks to Discover and Control Local IoT Devices
Gunes Acar, Danny Yuxing Huang, Frank Li, Arvind Narayanan, Nick Feamster. SIGCOMM Workshop on IoT Security and Privacy, 2018. Blog post. |
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Journal
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When the cookie meets the blockchain: Privacy risks of web payments via cryptocurrencies
Steven Goldfeder, Harry Kalodner, Dillon Reisman, Arvind Narayanan. Proceedings on Privacy Enhancing Technologies (PoPETs) 2018. Blog post. |
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Workshop
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An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest
Arunesh Mathur, Arvind Narayanan, Marshini Chetty. Workshop on Technology and Consumer Protection (ConPro) 2018. Blog post. |
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Journal
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An Empirical Analysis of Linkability in the Monero Blockchain
Malte Möser, Kyle Soska, Ethan Heilman, Kevin Lee, Henry Heffan, Shashvat Srivastava, Kyle Hogan, Jason Hennessey, Andrew Miller, Arvind Narayanan, Nicolas Christin. Proceedings on Privacy Enhancing Technologies (PoPETs) 2018. Demo. |
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Journal
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Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J. Bryson, Arvind Narayanan. Science, 2017. Open access author copy. |
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Journal
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I never signed up for this! Privacy implications of email tracking
Steven Englehardt, Jeffrey Han, Arvind Narayanan. Proceedings on Privacy Enhancing Technologies (PoPETs) 2018. Blog post. |
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Magazine
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Bitcoin's Academic Pedigree
Arvind Narayanan, Jeremy Clark. ACM Queue, 2017. (Also appeared in CACM, 2017.) |
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Draft
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The future of ad blocking: An analytical framework and new techniques
Grant Storey, Dillon Reisman, Jonathan Mayer, Arvind Narayanan. Manuscript, 2017. Blog post. |
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Workshop
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Obfuscation in Bitcoin: Techniques and Politics
Arvind Narayanan, Malte Möser. International Workshop on Obfuscation: Science, Technology, and Theory, 2017. |
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Journal
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Ten simple rules for responsible big data research
Matthew Zook, Solon Barocas, danah boyd, Kate Crawford, Emily Keller, Seeta Peña Gangadharan, Alyssa Goodman, Rachelle Hollander, Barbara A. Koenig, Jacob Metcalf, Arvind Narayanan, Alondra Nelson, Frank Pasquale. PLoS Computational Biology 2017. |
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Workshop
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Battery Status Not Included: Assessing Privacy in Web Standards
Lukasz Olejnik, Steven Englehardt, Arvind Narayanan. International Workshop on Privacy Engineering 2017. Best paper award. |
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Conference
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Escrow protocols for cryptocurrencies: How to buy physical goods using Bitcoin
Steven Goldfeder, Joseph Bonneau, Rosario Gennaro, Arvind Narayanan. Financial Cryptography and Data Security 2017. Blog post. |
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Book chapter
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The Princeton Web Transparency and Accountability Project
Arvind Narayanan, Dillon Reisman. In "Transparent data mining for Big and Small Data". Editors: Tania Cerquitelli, Daniele Quercia, Frank Pasquale. Springer. 2017. |
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Magazine
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Research for Practice: Cryptocurrencies, Blockchains, and Smart Contracts
Arvind Narayanan, Andrew Miller. ACM Queue, 2017. |
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Conference
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De-anonymizing Web Browsing Data with Social Networks
Jessica Su, Ansh Shukla, Sharad Goel, Arvind Narayanan. World Wide Web Conference 2017. |
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Conference
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On the instability of Bitcoin without the block reward
Miles Carlsten, Harry Kalodner, S. Matthew Weinberg, Arvind Narayanan. ACM Conference on Computer and Communications Security, 2016. Blog post. |
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Conference
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Online tracking: A 1-million-site measurement and analysis
Steven Englehardt, Arvind Narayanan. ACM Conference on Computer and Communications Security, 2016. FPF Privacy Papers for Policy Makers Award. |
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Book
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Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction
Arvind Narayanan, Joseph Bonneau, Edward Felten, Andrew Miller, Steven Goldfeder. Princeton University Press, 2016. Runner up for the 2017 PROSE Award in Computing and Information Sciences, Association of American Publishers. Draft version free to the public. |
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Conference
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Threshold-optimal DSA/ECDSA signatures and an application to Bitcoin wallet security
Rosario Gennaro, Steven Goldfeder, Arvind Narayanan. Applied Cryptography and Network Security 2016. |
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Conference
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When coding style survives compilation: De-anonymizing programmers from executable binaries
Aylin Caliskan, Fabian Yamaguchi, Edwin Dauber, Richard Harang, Konrad Rieck, Rachel Greenstadt, Arvind Narayanan. Network and Distributed System Security Symposium 2018. Blog post. |
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Journal
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No Encore for Encore? Ethical Questions for Web-Based Censorship Measurement
Arvind Narayanan, Bendert Zevenbergen. Technology Science, 2015. |
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Conference
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An empirical study of Namecoin and lessons for decentralized namespace design
Harry Kalodner, Miles Carlsten, Paul Ellenbogen, Joseph Bonneau, Arvind Narayanan. WEIS 2015. Blog post. |
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Conference
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A Precautionary Approach to Big Data Privacy
Arvind Narayanan, Joanna Huey, Edward Felten. Computers, Privacy & Data Protection 2015. FPF Privacy Papers for Policy Makers Award. Talk video / Blog post. |
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Draft
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Securing Bitcoin wallets via a new DSA/ECDSA threshold signature scheme
Steven Goldfeder, Rosario Gennario, Harry Kalodner, Joseph Bonneau, Edward W. Felten, Joshua A. Kroll, Arvind Narayanan. Manuscript, 2015. Blog post. |
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Conference
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Research Perspectives and Challenges for Bitcoin and Cryptocurrencies
Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A. Kroll, Edward W. Felten. IEEE Security and Privacy (Oakland) 2015. ePrint version with minor differences. |
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Conference
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De-anonymizing Programmers via Code Stylometry
Aylin Caliskan-Islam, Richard Harang, Andrew Liu, Arvind Narayanan, Clare Voss, Fabian Yamaguchi, Rachel Greenstadt. USENIX security symposium, 2015. Blog post. |
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Conference
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Cookies that give you away: Evaluating the surveillance implications of web tracking
Steven Englehardt, Dillon Reisman, Christian Eubank, Peter Zimmerman, Jonathan Mayer, Arvind Narayanan, Edward Felten. WWW 2015. Blog post. |
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Journal
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Redefining Genomic Privacy: Trust and Empowerment
Yaniv Erlich, James B Williams, David Glazer, Kenneth Yocum, Nita Farahany, Maynard Olson, Arvind Narayanan, Lincoln D Stein, Jan A Witkowski, Robert C Kain PLoS Biology, 2014. |
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Conference
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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. |
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No silver bullet: De-identification still doesn’t work
Arvind Narayanan, Edward W. Felten. Manuscript, 2014. |
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Workshop
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Privacy concerns of implicit secondary factors for web authentication
Joseph Bonneau, Edward W. Felten, Prateek Mittal, Arvind Narayanan Adventures in Authentication: WAY Workshop, 2014. |
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Draft
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Web Privacy Measurement: Scientific principles, engineering platform, and new results
Steven Englehardt, Christian Eubank, Peter Zimmerman, Dillon Reisman, Arvind Narayanan. Manuscript, 2014. |
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Conference
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On Decentralizing Prediction Markets and Order Books
Jeremy Clark, Joseph Bonneau, Edward W. Felten, Joshua A. Kroll, Andrew Miller, Arvind Narayanan WEIS 2014. Blog post. |
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Conference
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Mixcoin: Anonymity for Bitcoin with accountable mixes
Joseph Bonneau, Arvind Narayanan, Andrew Miller, Jeremy Clark, Joshua A. Kroll, Edward W. Felten. Financial Cryptography 2014. |
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Journal
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Why software engineering courses should include ethics coverage
Arvind Narayanan, Shannon Vallor. Communications of the ACM, 2014. |
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Policy
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Do Not Track: A Universal Third-Party Web Tracking Opt Out
Jonathan Mayer, Arvind Narayanan, Sid Stamm. IETF Internet-Draft, 2011. |
Undergrad/Master's work | ||
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Journal
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Perfectly Reliable Message Transmission
Arvind Narayanan, Kannan Srinathan, C. Pandu Rangan. Information Processing Letters 100:1, pages 23--28, 2006. [Abstract] |
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Conference
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Optimal Perfectly Secure Message Transmission.
Kannan Srinathan, Arvind Narayanan, C. Pandu Rangan. Advances in Cryptology -- CRYPTO 2004, volume 3152 of LNCS, pages 545--561. [Download: Postscript] |
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Conference
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On the power of Computational Secret Sharing.
Vinod Vaikuntanathan, Arvind Narayanan, Kannan Srinathan, C. Pandu Rangan, Kwangjo Kim. Indocrypt 2003, volume 2904 of LNCS, pages 162--176. |
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Conference
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Practical Pay TV Schemes
Arvind Narayanan, C. Pandu Rangan, Kwangjo Kim. Australasian Conference on Information Security and Privacy (ACISP) 2003, volume 2727 of LNCS, pages 192--203. |
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