Fairness and ethics in computing — Arvind Narayanan

Publications

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.

The limitations of machine learning models for predicting scientific replicability
Molly J. Crockett, Xuechunzi Bai, Sayash Kapoor, Lisa Messeri, Arvind Narayanan
Proceedings of the National Academies of Sciences, 2023.

Understanding Social Media Recommendation Algorithms
Arvind Narayanan.
Knight First Amendment Institute, 2023.

Robust de-anonymization of large sparse datasets: a decade later
Arvind Narayanan, Vitaly Shmatikov.
Manuscript, 2019.

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.

Identification of anonymous DNA using genealogical triangulation
Paul Ellenbogen, Arvind Narayanan.
Manuscript, 2019.

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.

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.

Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J. Bryson, Arvind Narayanan.
Science, 2017.
Open access author copy.

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.

De-anonymizing Web Browsing Data with Social Networks
Jessica Su, Ansh Shukla, Sharad Goel, Arvind Narayanan.
World Wide Web Conference 2017.

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.

No Encore for Encore? Ethical Questions for Web-Based Censorship Measurement
Arvind Narayanan, Bendert Zevenbergen.
Technology Science, 2015.

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.

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.

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.

No silver bullet: De-identification still doesn’t work
Arvind Narayanan, Edward W. Felten.
Manuscript, 2014.

Why software engineering courses should include ethics coverage
Arvind Narayanan, Shannon Vallor.
Communications of the ACM, 2014.

Routes for breaching and protecting genetic privacy
Yaniv Erlich, Arvind Narayanan.
Nature Reviews Genetics, 2014.
PDF: Sci-Hub | Author manuscript.

33 Bits of Entropy: Myths and Fallacies of “Personally Identifiable Information”
Arvind Narayanan.
Volume 1 of Tiny Transactions on Computer Science, 2012. ("The premier venue for computer science research of 140 characters or less.")

On the Feasibility of Internet-Scale Author Identification
Arvind Narayanan, Hristo Paskov, Neil Gong, John Bethencourt, Emil Stefanov, Richard Shin, Dawn Song.
IEEE Security and Privacy (Oakland) 2012.
Blog post

An Adversarial Analysis of the Reidentifiability of the Heritage Health Prize Dataset.
Arvind Narayanan.
Manuscript, 2011.

“You Might Also Like:” Privacy Risks of Collaborative Filtering
Joseph A. Calandrino, Ann Kilzer, Arvind Narayanan, Edward W. Felten, Vitaly Shmatikov.
IEEE Security and Privacy (Oakland) 2011.
Blog post.

Link Prediction by De-anonymization: How We Won the Kaggle Social Network Challenge
Arvind Narayanan, Elaine Shi, Benjamin I. P. Rubinstein.
International Joint Conference on Neural Networks 2011.
Blog post.

Myths and Fallacies of “Personally Identifiable Information”
Arvind Narayanan, Vitaly Shmatikov.
Communications of the ACM, 2010.
Blog post.

De-anonymizing Social Networks
Arvind Narayanan, Vitaly Shmatikov.
IEEE Security and Privacy 2009.
Blog post.

Robust De-anonymization of Large Sparse Datasets
Arvind Narayanan, Vitaly Shmatikov.
IEEE Security and Privacy (Oakland) 2008.
2008 Privacy Enhancing Technologies award. 2019 IEEE Security & Privacy Test of Time Award.