Roth, Aaron

The Algorithmic Foundations of Differential Privacy

Dwork, C., & Roth, A. (2014) · Foundations and Trends® in Theoretical Computer Science

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 5,557

The Algorithmic Foundations of Differential Privacy

Dwork, C., & Roth, A. (2013) · now publishers, Inc. eBooks

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 3,856

Fairness in Criminal Justice Risk Assessments: The State of the Art

Berk, R., Heidari, H., Jabbari, S., Kearns, M., & Roth, A. (2021) · Sociological Methods & Research

Ethics and Social Impacts of AICriminal Justice and Corrections Analysis

Cited by 988

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

Kearns, M., Neel, S., Roth, A., & Wu, Z. S. (2017) · arXiv

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 469

Gaussian Differential Privacy

Dong, J., Roth, A., & Su, W. J. (2019) · arXiv

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 389

The reusable holdout: Preserving validity in adaptive data analysis

Dwork, C., Feldman, V., Hardt, M., Pitassi, T., Reingold, O., & Roth, A. (2015) · Science

Privacy-Preserving Technologies in DataStatistical Methods and Inference

Cited by 307

Fairness in Learning: Classic and Contextual Bandits

Joseph, M., Kearns, M., Morgenstern, J., & Roth, A. (2016) · arXiv

Advanced Bandit Algorithms ResearchMachine Learning and Algorithms

Cited by 199

A Convex Framework for Fair Regression

Berk, R., Heidari, H., Jabbari, S., Joseph, M., Kearns, M., Morgenstern, J., Neel, S., & Roth, A. (2017) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 198

Generalization in Adaptive Data Analysis and Holdout Reuse

Dwork, C., Feldman, V., Hardt, M., Pitassi, T., Reingold, O., & Roth, A. (2015) · arXiv

Privacy-Preserving Technologies in DataStatistical Methods and Inference

Cited by 152

Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

Neel, S., Roth, A., & Sharifi-Malvajerdi, S. (2020) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 96

Minimax group fairness: algorithms and experiments

Diana, E., Gill, W., Kearns, M., Kenthapadi, K., & Roth, A. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 74

Fair Algorithms for Learning in Allocation Problems

Elzayn, H., Jabbari, S., Jung, C., Kearns, M., Neel, S., Roth, A., & Schutzman, Z. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIGame Theory and Voting Systems

Cited by 70

Adaptive Machine Unlearning

Gupta, V., Jung, C., Neel, S., Roth, A., Sharifi-Malvajerdi, S., & Waites, C. (2021) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 67

Differentially Private Fair Learning

Jagielski, M., Kearns, M., Mao, J., Oprea, A., Roth, A., Sharifi-Malvajerdi, S., & Ullman, J. (2018) · arXiv

Privacy-Preserving Technologies in DataEthics and Social Impacts of AI

Cited by 62

Meritocratic Fairness for Infinite and Contextual Bandits

Joseph, M., Kearns, M., Morgenstern, J., Neel, S., & Roth, A. (2018) · Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society

Advanced Bandit Algorithms ResearchOptimization and Search Problems

Cited by 24

Ethical algorithm design

Kearns, M., & Roth, A. (2020) · ACM SIGecom Exchanges

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 21

Privacy for the Protected (Only)

Kearns, M., Roth, A., Wu, Z. S., & Yaroslavtsev, G. (2015) · arXiv

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

Cited by 5