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Dive into the research topics where Arvind Narayanan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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CHS: Medium: Recognizing, Mitigating and Governing Bias in AI
NSF - National Science Foundation
9/1/18 → 8/31/23
Project: Research project
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CHS: Large: Collaborative Research: Pervasive Data Ethics for Computational Research
NSF - National Science Foundation
9/1/17 → 8/31/23
Project: Research project
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CAREER: Measurement, Analysis, and Novel Application of Blockchains
NSF - National Science Foundation
2/15/17 → 1/31/22
Project: Research project
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TWC: Small: Ending the Web Privacy Arms Race: Threat Detection, Measurement and Response
NSF - National Science Foundation
7/1/15 → 6/30/18
Project: Research project
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TWC: Small: Addressing the Challenges of Cryptocurrencies: Security, Anonymity, Stability
NSF - National Science Foundation
7/1/14 → 6/30/18
Project: Research project
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How algorithms shape the distribution of political advertising: Case studies of facebook, google, and TikTok
Papakyriakopoulos, O., Tessono, C., Narayanan, A. & Kshirsagar, M., Jul 26 2022, AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery, Inc, p. 532-546 15 p. (AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Password policies of most top websites fail to follow best practices
Lee, K., Sjöberg, S. & Narayanan, A., 2022, Proceedings of the 18th Symposium on Usable Privacy and Security, SOUPS 2022. USENIX Association, p. 561-580 20 p. (Proceedings of the 18th Symposium on Usable Privacy and Security, SOUPS 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Resurrecting Address Clustering in Bitcoin
Möser, M. & Narayanan, A., 2022, Financial Cryptography and Data Security - 26th International Conference, FC 2022, Revised Selected Papers. Eyal, I. & Garay, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 386-403 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13411 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
Wang, A., Liu, A., Zhang, R., Kleiman, A., Kim, L., Zhao, D., Shirai, I., Narayanan, A. & Russakovsky, O., Jul 2022, In: International Journal of Computer Vision. 130, 7, p. 1790-1810 21 p.Research output: Contribution to journal › Article › peer-review
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The Worst of Both Worlds: A Comparative Analysis of Errors in Learning from Data in Psychology and Machine Learning
Hullman, J., Kapoor, S., Nanayakkara, P., Gelman, A. & Narayanan, A., Jul 26 2022, AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery, Inc, p. 335-348 14 p. (AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations