| Attribute Privacy: Framework and Mechanisms. | 0 | 0.34 | 2022 |
| PAPRIKA: Private Online False Discovery Rate Control | 0 | 0.34 | 2021 |
| Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning | 0 | 0.34 | 2021 |
| Advances And Open Problems In Federated Learning | 45 | 1.56 | 2021 |
| Algorithmic Price Discrimination. | 0 | 0.34 | 2020 |
| Individual Sensitivity Preprocessing for Data Privacy. | 0 | 0.34 | 2020 |
| Privately detecting changes in unknown distributions | 0 | 0.34 | 2020 |
| On the Compatibility of Privacy and Fairness. | 3 | 0.42 | 2019 |
| Learning Auctions with Robust Incentive Guarantees | 0 | 0.34 | 2019 |
| Differentially Private Online Submodular Optimization. | 0 | 0.34 | 2018 |
| Differential Privacy for Growing Databases. | 1 | 0.35 | 2018 |
| Differential privacy as a tool for truthfulness in games. | 0 | 0.34 | 2017 |
| Adaptive Learning with Robust Generalization Guarantees. | 12 | 0.66 | 2016 |
| Coordination Complexity: Small Information Coordinating Large Populations | 0 | 0.34 | 2016 |
| The Possibilities and Limitations of Private Prediction Markets. | 4 | 0.47 | 2016 |
| Truthful Linear Regression | 5 | 0.52 | 2015 |
| The Strange Case of Privacy in Equilibrium Models | 1 | 0.36 | 2015 |
| Accuracy for Sale: Aggregating Data with a Variance Constraint | 15 | 0.72 | 2015 |
| Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate. | 108 | 3.53 | 2011 |
