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2020 – today
- 2024
[j5]Jeremy Seeman, William Sexton, David Pujol, Ashwin Machanavajjhala:
Privately Answering Queries on Skewed Data via Per-Record Differential Privacy. Proc. VLDB Endow. 17(11): 3138-3150 (2024)- [i10]Brian Finley, Anthony M. Caruso, Justin C. Doty, Ashwin Machanavajjhala, Mikaela R. Meyer, David Pujol, William Sexton, Zachary Terner:
Slowly Scaling Per-Record Differential Privacy. CoRR abs/2409.18118 (2024) - 2023
- [j4]David Pujol, Amir Gilad, Ashwin Machanavajjhala:
PreFair: Privately Generating Justifiably Fair Synthetic Data. Proc. VLDB Endow. 16(6): 1573-1586 (2023) - [c3]Chenghong Wang, David Pujol, Kartik Nayak, Ashwin Machanavajjhala:
Private Proof-of-Stake Blockchains using Differentially-Private Stake Distortion. USENIX Security Symposium 2023: 1577-1594 - [i9]Temilola Adeleye, Skye Berghel, Damien Desfontaines, Michael Hay, Isaac Johnson, Cléo Lemoisson, Ashwin Machanavajjhala, Tom Magerlein, Gabriele Modena, David Pujol, Daniel Simmons-Marengo, Hal Triedman:
Publishing Wikipedia usage data with strong privacy guarantees. CoRR abs/2308.16298 (2023) - [i8]Jeremy Seeman, William Sexton, David Pujol, Ashwin Machanavajjhala:
Privately Answering Queries on Skewed Data via Per Record Differential Privacy. CoRR abs/2310.12827 (2023) - [i7]Chenghong Wang, David Pujol, Kartik Nayak, Ashwin Machanavajjhala:
Private Proof-of-Stake Blockchains using Differentially-private Stake Distortion. IACR Cryptol. ePrint Arch. 2023: 787 (2023) - 2022
- [j3]David Pujol, Albert Sun, Brandon Fain, Ashwin Machanavajjhala:
Multi-Analyst Differential Privacy for Online Query Answering. Proc. VLDB Endow. 16(4): 816-828 (2022) - [i6]David Pujol, Albert Sun, Brandon Fain, Ashwin Machanavajjhala:
Multi-Analyst Differential Privacy for Online Query Answering. CoRR abs/2212.09884 (2022) - [i5]David Pujol, Amir Gilad, Ashwin Machanavajjhala:
PreFair: Privately Generating Justifiably Fair Synthetic Data. CoRR abs/2212.10310 (2022) - 2021
- [j2]David Pujol, Ashwin Machanavajjhala:
Equity and Privacy: More Than Just a Tradeoff. IEEE Secur. Priv. 19(6): 93-97 (2021) - [j1]David Pujol, Yikai Wu
, Brandon Fain, Ashwin Machanavajjhala:
Budget Sharing for Multi-Analyst Differential Privacy. Proc. VLDB Endow. 14(10): 1805-1817 (2021) - [i4]David Pujol, Ashwin Machanavajjhala:
Equity and Privacy: More Than Just a Tradeoff. CoRR abs/2111.04671 (2021) - 2020
- [c2]David Pujol, Ryan McKenna, Satya Kuppam, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau:
Fair decision making using privacy-protected data. FAT* 2020: 189-199 - [c1]Yanping Zhang, Chenghong Wang, David Pujol, Johes Bater, Matthew Lentz, Ashwin Machanavajjhala, Kartik Nayak, Lavanya Vasudevan, Jun Yang:
Poirot: private contact summary aggregation: poster abstract. SenSys 2020: 774-775 - [i3]David Pujol, Yikai Wu, Brandon Fain, Ashwin Machanavajjhala:
Budget Sharing for Multi-Analyst Differential Privacy. CoRR abs/2011.01192 (2020)
2010 – 2019
- 2019
- [i2]Satya Kuppam, Ryan McKenna, David Pujol, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau:
Fair Decision Making using Privacy-Protected Data. CoRR abs/1905.12744 (2019) - [i1]Yikai Wu, David Pujol, Ios Kotsogiannis, Ashwin Machanavajjhala:
Answering Summation Queries for Numerical Attributes under Differential Privacy. CoRR abs/1908.10268 (2019)
Coauthor Index
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