Narayanan, Arvind

Semantics derived automatically from language corpora contain human-like biases

Caliskan, A., Bryson, J. J., & Narayanan, A. (2017) · Science

Ethics and Social Impacts of AISocial and Intergroup Psychology

Cited by 2,887

Robust De-anonymization of Large Sparse Datasets

Narayanan, A., & Shmatikov, V. (2008) · 2008 IEEE Symposium on Security and Privacy (sp 2008)

Privacy-Preserving Technologies in DataInternet Traffic Analysis and Secure E-voting

Cited by 2,372

Leakage and the reproducibility crisis in machine-learning-based science

Kapoor, S., & Narayanan, A. (2023) · Patterns

Scientific Computing and Data ManagementMachine Learning and Data Classification

Cited by 1,387

Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites

Mathur, A., Acar, G., Friedman, M. J., Lucherini, E., Mayer, J., Chetty, M., & Narayanan, A. (2019) · Proceedings of the ACM on Human-Computer Interaction

Innovative Human-Technology InteractionPrivacy, Security, and Data Protection

Cited by 816

Mixcoin: Anonymity for Bitcoin with Accountable Mixes

Bonneau, J., Narayanan, A., Miller, A., Clark, J., Kroll, J. A., & Felten, E. W. (2014) · Lecture Notes in Computer Science

Blockchain Technology Applications and SecurityInternet Traffic Analysis and Secure E-voting

Cited by 441

Myths and fallacies of personally identifiable information

Narayanan, A., & Shmatikov, V. (2010) · Communications of the ACM

Privacy, Security, and Data ProtectionPrivacy-Preserving Technologies in Data

Cited by 346

Measuring the predictability of life outcomes with a scientific mass collaboration

Salganik, M. J., Lundberg, I., Kindel, A. T., Ahearn, C. E., Al-Ghoneim, K., Almaatouq, A., Altschul, D. M., Brand, J. E., Carnegie, N. B., Compton, R. J., et al. (2020) · Proceedings of the National Academy of Sciences

Family Dynamics and RelationshipsOnline Learning and Analytics

Cited by 322

"You Might Also Like:" Privacy Risks of Collaborative Filtering

Calandrino, J. A., Kilzer, A., Narayanan, A., Felten, E. W., & Shmatikov, V. (2011) · 2011 IEEE Symposium on Security and Privacy

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 311

On the Feasibility of Internet-Scale Author Identification

Narayanan, A., Paskov, H., Gong, N. Z., Bethencourt, J., Stefanov, E., Shin, E. C. R., & Song, D. (2012) · 2012 IEEE Symposium on Security and Privacy

Authorship Attribution and ProfilingUser Authentication and Security Systems

Cited by 261

Keeping the Smart Home Private with Smart(er) IoT Traffic Shaping

Apthorpe, N., Huang, D. Y., Reisman, D., Narayanan, A., & Feamster, N. (2019) · Proceedings on Privacy Enhancing Technologies

Internet Traffic Analysis and Secure E-votingPrivacy-Preserving Technologies in Data

Cited by 192

On the Societal Impact of Open Foundation Models

Kapoor, S., Bommasani, R., Klyman, K., Longpre, S., Ramaswami, A., Cihon, P., Hopkins, A., Bankston, K., Biderman, S., Bogen, M., et al. (2024) · arXiv

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 103

De-anonymizing Web Browsing Data with Social Networks

Su, J., Shukla, A., Goel, S., & Narayanan, A. (2017) · Proceedings of the 26th International Conference on World Wide Web

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 95

Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers

Peng, K., Mathur, A., & Narayanan, A. (2021) · arXiv

Ethics and Social Impacts of AIFace recognition and analysis

Cited by 31

Considerations for governing open foundation models

Bommasani, R., Kapoor, S., Klyman, K., Longpre, S., Ramaswami, A., Zhang, D., Schaake, M., Ho, D. E., Narayanan, A., & Liang, P. (2024) · Science

Research, Science, and AcademiaLaw, AI, and Intellectual Property

Cited by 31

When the cookie meets the blockchain: Privacy risks of web payments via cryptocurrencies

Goldfeder, S., Kalodner, H., Reisman, D., & Narayanan, A. (2018) · Proceedings on Privacy Enhancing Technologies

Privacy, Security, and Data ProtectionBlockchain Technology Applications and Security

Cited by 29

Promises and Pitfalls of Artificial Intelligence for Legal Applications

Kapoor, S., Henderson, P., & Narayanan, A. (2024) · SSRN Electronic Journal

Artificial Intelligence in LawArtificial Intelligence Applications

Cited by 25

Why an overreliance on AI-driven modelling is bad for science

Narayanan, A., & Kapoor, S. (2025) · Nature

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 21

International AI Safety Report

Bengio, Y., Mindermann, S., Privitera, D., Besiroglu, T., Bommasani, R., Casper, S., Choi, Y., Fox, P., Garfinkel, B., Goldfarb, D., et al. (2025) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 16

AI Agents That Matter

Kapoor, S., Stroebl, B., Siegel, Z. S., Nadgir, N., & Narayanan, A. (2024) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 13

CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark

Siegel, Z. S., Kapoor, S., Nadgir, N., Stroebl, B., & Narayanan, A. (2024) · arXiv

Scientific Computing and Data ManagementArtificial Intelligence Applications

Cited by 4

Towards a Science of AI Agent Reliability

Rabanser, S., Kapoor, S., Kirgis, P., Liu, K., Utpala, S., & Narayanan, A. (2026) · arXiv

Adversarial Robustness in Machine LearningSafety Systems Engineering in Autonomy

Cited by 1

Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation

Kapoor, S., Stroebl, B., Kirgis, P., Nadgir, N., Siegel, Z. S., Wei, B., Xue, T., Chen, Z., Chen, F., Utpala, S., et al. (2025) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0

Establishing Best Practices in Building Rigorous Agentic Benchmarks

Zhu, Y., Jin, T., Pruksachatkun, Y., Zhang, A., Liu, S., Cui, S., Kapoor, S., Longpre, S., Meng, K., Weiss, R., et al. (2025) · Advances in Neural Information Processing Systems 38

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0

Life After Benchmark Saturation: A Case Study of CORE-Bench

Nadgir, N., Kapoor, S., Liu, K., Kirgis, P., Orona, M., Rabanser, S., Bayer, T., Shetty, A., Ling, Y., Chan-Sew, D., et al. (2026) · arXiv

Scientific Computing and Data ManagementSoftware Engineering Research

Cited by 0