| Differential privacy in practice: Expose your epsilons! C Dwork, N Kohli, D Mulligan Journal of Privacy and Confidentiality 9 (2), 2019 | 137 | 2019 |
| This thing called fairness: Disciplinary confusion realizing a value in technology DK Mulligan, JA Kroll, N Kohli, RY Wong Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 1-36, 2019 | 109 | 2019 |
| Shaping Our Tools: Contestability as a Means to Promote Responsible Algorithmic Decision Making in the Professions DN Kluttz, N Kohli, DK Mulligan After the Digital Tornado: Networks, Algorithms, Humanity. Combridge …, 2020 | 68 | 2020 |
| A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics R Dobbe, S Dean, T Gilbert, N Kohli 5th Workshop on Fairness, Accountability, and Transparency in Machine …, 2018 | 57 | 2018 |
| Epsilon Voting: Mechanism Design for Parameter Selection in Differential Privacy N Kohli, P Laskowski 2018 IEEE Symposium on Privacy-Aware Computing (PAC), 19-30, 2018 | 38 | 2018 |
| Translation Tutorial: A Shared Lexicon for Research and Practice in Human-Centered Software Systems N Kohli, R Barreto, JA Kroll In 1st Conference on Fairness, Accountability, and Transparency. New York …, 2018 | 17 | 2018 |
| Privacy and policy in polystores: a data management research agenda JA Kroll, N Kohli, P Laskowski Heterogeneous Data Management, Polystores, and Analytics for Healthcare …, 2019 | 13 | 2019 |
| Contestability and professionals: From explanations to engagement with algorithmic systems D Kluttz, N Kohli, DK Mulligan Available at SSRN 3311894, 2018 | 12* | 2018 |
| What does “fairness” mean for machine learning systems G Smith, N Kohli, I Rustagi Berkeley Haas EGAL, 2020 | 8 | 2020 |
| Differential privacy for black-box statistical analyses N Kohli, P Laskowski Proceedings on Privacy Enhancing Technologies, 2023 | 3 | 2023 |
| Big Data Privacy in Emerging Market Fintech and Financial Services: A Research Agenda JE Blumenstock, N Kohli arXiv preprint arXiv:2310.04970, 2023 | 2 | 2023 |
| Leveraging Differential Privacy While Attending to Social and Political Commitments N Kohli PhD diss. University of California, Berkeley, 2021 | 2 | 2021 |
| Tutorial Session: Common Pitfalls for Studying the Human Side of Machine Learning D Mulligan, N Kohli, J Kroll NeurIPS 2018 Tutorial, 2018 | 2 | 2018 |
| Privacy Guarantees for Personal Mobility Data in Humanitarian Response N Kohli, E Aiken, J Blumenstock arXiv preprint arXiv:2306.09471, 2023 | 1 | 2023 |
| Using Participants' Utility Functions to Compare Versions of Differential Privacy N Kohli, MC Tschantz arXiv preprint arXiv:2310.06258, 2023 | | 2023 |
Deirdre K. MulliganUC BerkeleyVerified email at berkeley.edu
