Projects per year
Fingerprint
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.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 5 Finished
-
CHS: Medium: Recognizing, Mitigating and Governing Bias in AI
NSF - National Science Foundation
9/1/18 → 8/31/23
Project: Research project
-
CHS: Large: Collaborative Research: Pervasive Data Ethics for Computational Research
NSF - National Science Foundation
9/1/17 → 8/31/23
Project: Research project
-
CAREER: Measurement, Analysis, and Novel Application of Blockchains
NSF - National Science Foundation
2/15/17 → 1/31/22
Project: Research project
-
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
-
TWC: Small: Addressing the Challenges of Cryptocurrencies: Security, Anonymity, Stability
NSF - National Science Foundation
7/1/14 → 6/30/18
Project: Research project
-
Leakage and the reproducibility crisis in machine-learning-based science
Kapoor, S. & Narayanan, A., Sep 8 2023, In: Patterns. 4, 9, 100804.Research output: Contribution to journal › Article › peer-review
Open Access -
Manipulative tactics are the norm in political emails: Evidence from 300K emails from the 2020 US election cycle
Mathur, A., Wang, A., Schwemmer, C., Hamin, M., Stewart, B. M. & Narayanan, A., Jan 1 2023, In: Big Data and Society. 10, 1Research output: Contribution to journal › Article › peer-review
Open Access -
Security Policy Audits: Why and How
Narayanan, A., Lee, K., Grossklags, J., Lipford, H. R. & Staddon, J., Mar 1 2023, In: IEEE Security and Privacy. 21, 2, p. 77-81 5 p.Research output: Contribution to journal › Article › peer-review
Open Access -
The limitations of machine learning models for predicting scientific replicability
Crockett, M. J., Bai, X., Kapoor, S., Messeri, L. & Narayanan, A., Aug 15 2023, In: Proceedings of the National Academy of Sciences of the United States of America. 120, 33, p. e2307596120Research output: Contribution to journal › Letter › peer-review
Open Access -
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