| Fair decision making using privacy-protected data D Pujol, R McKenna, S Kuppam, M Hay, A Machanavajjhala, G Miklau Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020 | 139 | 2020 |
| Equity and privacy: More than just a tradeoff D Pujol, A Machanavajjhala IEEE Security & Privacy 19 (6), 93-97, 2021 | 20 | 2021 |
| Publishing Wikipedia usage data with strong privacy guarantees T Adeleye, S Berghel, D Desfontaines, M Hay, I Johnson, C Lemoisson, ... arXiv preprint arXiv:2308.16298, 2023 | 10 | 2023 |
| Prefair: Privately generating justifiably fair synthetic data D Pujol, A Gilad, A Machanavajjhala arXiv preprint arXiv:2212.10310, 2022 | 10 | 2022 |
| Budget sharing for multi-analyst differential privacy D Pujol, Y Wu, B Fain, A Machanavajjhala arXiv preprint arXiv:2011.01192, 2020 | 6 | 2020 |
| Private {Proof-of-Stake} Blockchains using {Differentially-Private} Stake Distortion C Wang, D Pujol, K Nayak, A Machanavajjhala 32nd USENIX Security Symposium (USENIX Security 23), 1577-1594, 2023 | 5 | 2023 |
| Multi-analyst differential privacy for online query answering D Pujol, A Sun, B Fain, A Machanavajjhala arXiv preprint arXiv:2212.09884, 2022 | 4 | 2022 |
| Privately Answering Queries on Skewed Data via Per Record Differential Privacy J Seeman, W Sexton, D Pujol, A Machanavajjhala arXiv preprint arXiv:2310.12827, 2023 | 2 | 2023 |
| Poirot: private contact summary aggregation Y Zhang, C Wang, D Pujol, J Bater, M Lentz, A Machanavajjhala, K Nayak, ... Proceedings of the 18th Conference on Embedded Networked Sensor Systems, 774-775, 2020 | 2 | 2020 |
| Slowly Scaling Per-Record Differential Privacy B Finley, AM Caruso, JC Doty, A Machanavajjhala, MR Meyer, D Pujol, ... arXiv preprint arXiv:2409.18118, 2024 | 1 | 2024 |
| Fairness in Differentially Private Data Release DA Pujol Duke University, 2022 | | 2022 |
| Answering Summation Queries for Numerical Attributes under Differential Privacy Y Wu, D Pujol, I Kotsogiannis, A Machanavajjhala arXiv preprint arXiv:1908.10268, 2019 | | 2019 |
