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David Pujol
David Pujol
Tumult Labs
Verified email at tmlt.io
Title
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Year
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
852020
Fair decision making using privacy-protected data
S Kuppam, R McKenna, D Pujol, M Hay, A Machanavajjhala, G Miklau
arXiv preprint arXiv:1905.12744, 2019
192019
Equity and privacy: More than just a tradeoff
D Pujol, A Machanavajjhala
IEEE Security & Privacy 19 (6), 93-97, 2021
92021
Budget sharing for multi-analyst differential privacy
D Pujol, Y Wu, B Fain, A Machanavajjhala
arXiv preprint arXiv:2011.01192, 2020
52020
Prefair: Privately generating justifiably fair synthetic data
D Pujol, A Gilad, A Machanavajjhala
arXiv preprint arXiv:2212.10310, 2022
32022
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
22023
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
22020
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
12023
Multi-Analyst Differential Privacy for Online Query Answering
D Pujol, A Sun, B Fain, A Machanavajjhala
arXiv preprint arXiv:2212.09884, 2022
12022
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
2023
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
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