David Pujol

21 papers A* 1Misc 1Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
PHSafe: Disclosure Avoidance for the 2020 Census Supplemental Demographic and Housing Characteristics File (S-DHC).
CoRR
William Sexton, Skye Berghel, Bayard Carlson, Samuel Haney, Luke Hartman, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Amritha Pai, Simran Rajpal, David Pujol, Ruchit Shrestha, Daniel Simmons-Marengo
2025 J jnl
SafeTab-H: Disclosure Avoidance for the 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B).
CoRR
William Sexton, Skye Berghel, Bayard Carlson, Samuel Haney, Luke Hartman, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Amritha Pai, Simran Rajpal, David Pujol, Ruchit Shrestha, Daniel Simmons-Marengo
2025 J jnl
SafeTab-P: Disclosure Avoidance for the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A).
CoRR
Samuel Haney, Skye Berghel, Bayard Carlson, Ryan Cumings-Menon, Luke Hartman, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Amritha Pai, Simran Rajpal, David Pujol, William Sexton, Ruchit Shrestha, Daniel Simmons-Marengo
2024 J jnl
Privately Answering Queries on Skewed Data via Per-Record Differential Privacy.
Proc. VLDB Endow.
Jeremy Seeman, William Sexton, David Pujol, Ashwin Machanavajjhala
2024 J jnl
Slowly Scaling Per-Record Differential Privacy.
CoRR
Brian Finley, Anthony M. Caruso, Justin C. Doty, Ashwin Machanavajjhala, Mikaela R. Meyer, David Pujol, William Sexton, Zachary Terner
2023 J jnl
PreFair: Privately Generating Justifiably Fair Synthetic Data.
Proc. VLDB Endow.
David Pujol, Amir Gilad, Ashwin Machanavajjhala
2023 A* conf
Private Proof-of-Stake Blockchains using Differentially-Private Stake Distortion.
USENIX Security Symposium
Chenghong Wang, David Pujol, Kartik Nayak, Ashwin Machanavajjhala
2023 J jnl
Private Proof-of-Stake Blockchains using Differentially-private Stake Distortion.
IACR Cryptol. ePrint Arch.
Chenghong Wang, David Pujol, Kartik Nayak, Ashwin Machanavajjhala
2023 J jnl
Privately Answering Queries on Skewed Data via Per Record Differential Privacy.
CoRR
Jeremy Seeman, William Sexton, David Pujol, Ashwin Machanavajjhala
2023 J jnl
Publishing Wikipedia usage data with strong privacy guarantees.
CoRR
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
2022 J jnl
Multi-Analyst Differential Privacy for Online Query Answering.
CoRR
David Pujol, Albert Sun, Brandon Fain, Ashwin Machanavajjhala
2022 J jnl
Multi-Analyst Differential Privacy for Online Query Answering.
Proc. VLDB Endow.
David Pujol, Albert Sun, Brandon Fain, Ashwin Machanavajjhala
2022 J jnl
PreFair: Privately Generating Justifiably Fair Synthetic Data.
CoRR
David Pujol, Amir Gilad, Ashwin Machanavajjhala
2021 J jnl
Budget Sharing for Multi-Analyst Differential Privacy.
Proc. VLDB Endow.
David Pujol, Yikai Wu, Brandon Fain, Ashwin Machanavajjhala
2021 J jnl
Equity and Privacy: More Than Just a Tradeoff.
CoRR
David Pujol, Ashwin Machanavajjhala
2021 J jnl
Equity and Privacy: More Than Just a Tradeoff.
IEEE Secur. Priv.
David Pujol, Ashwin Machanavajjhala
2020 J jnl
Budget Sharing for Multi-Analyst Differential Privacy.
CoRR
David Pujol, Yikai Wu, Brandon Fain, Ashwin Machanavajjhala
2020 — conf
Fair decision making using privacy-protected data.
FAT*
David Pujol, Ryan McKenna, Satya Kuppam, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
2020 Misc conf
Poirot: private contact summary aggregation: poster abstract.
SenSys
Yanping Zhang, Chenghong Wang, David Pujol, Johes Bater, Matthew Lentz, Ashwin Machanavajjhala, Kartik Nayak, Lavanya Vasudevan, Jun Yang
2019 J jnl
Answering Summation Queries for Numerical Attributes under Differential Privacy.
CoRR
Yikai Wu, David Pujol, Ios Kotsogiannis, Ashwin Machanavajjhala
2019 J jnl
Fair Decision Making using Privacy-Protected Data.
CoRR
Satya Kuppam, Ryan McKenna, David Pujol, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau