2024
Preventing Inferences Through Data Dependencies on Sensitive Data.
IEEE Trans. Knowl. Data Eng., October, 2024
Differentially Private Data Generation with Missing Data.
Proc. VLDB Endow., April, 2024
Technical Perspective: Synthetic Data Needs a Reproducibility Benchmark.
SIGMOD Rec., March, 2024
Differential Privacy with Fine-Grained Provenance: Opportunities and Challenges.
IEEE Data Eng. Bull., 2024
Secure Normal Form: Mediation Among Cross Cryptographic Leakages in Encrypted Databases.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
ProBE: Proportioning Privacy Budget for Complex Exploratory Decision Support.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024
2023
DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance.
Proc. ACM Manag. Data, December, 2023
2022
Don't Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data.
Proc. VLDB Endow., 2022
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration.
Proc. VLDB Endow., 2022
MIDE: Accuracy Aware Minimally Invasive Data Exploration For Decision Support.
Proc. VLDB Endow., 2022
Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases.
Proc. Priv. Enhancing Technol., 2022
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Catch a Blowfish Alive: A Demonstration of Policy-Aware Differential Privacy for Interactive Data Exploration.
Proc. VLDB Endow., 2021
Kamino: Constraint-Aware Differentially Private Data Synthesis.
Proc. VLDB Endow., 2021
Differential Privacy for Databases.
Found. Trends Databases, 2021
Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy.
CoRR, 2021
DP-cryptography: marrying differential privacy and cryptography in emerging applications.
Commun. ACM, 2021
DPGraph: A Benchmark Platform for Differentially Private Graph Analysis.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Practical Security and Privacy for Database Systems.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Federated Deep Learning Architecture for Personalized Healthcare.
Proceedings of the Public Health and Informatics, 2021
2020
SAQE: Practical Privacy-Preserving Approximate Query Processing for Data Federations.
Proc. VLDB Endow., 2020
Computing Local Sensitivities of Counting Queries with Joins.
Proceedings of the 2020 International Conference on Management of Data, 2020
Crypt?: Crypto-Assisted Differential Privacy on Untrusted Servers.
Proceedings of the 2020 International Conference on Management of Data, 2020
Linear and Range Counting under Metric-based Local Differential Privacy.
Proceedings of the IEEE International Symposium on Information Theory, 2020
2019
PrivateSQL: A Differentially Private SQL Query Engine.
Proc. VLDB Endow., 2019
Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing.
Proc. Priv. Enhancing Technol., 2019
Design of Algorithms under Policy-Aware Local Differential Privacy: Utility-Privacy Trade-offs.
CoRR, 2019
Outis: Crypto-Assisted Differential Privacy on Untrusted Servers.
CoRR, 2019
Privacy Changes Everything.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2019
APEx: Accuracy-Aware Differentially Private Data Exploration.
Proceedings of the 2019 International Conference on Management of Data, 2019
2018
Analyzing Your Location Data with Provable Privacy Guarantees.
Proceedings of the Handbook of Mobile Data Privacy., 2018
Policy Driven Data Sharing with Provable Privacy Guarantees.
PhD thesis, 2018
ShrinkWrap: Efficient SQL Query Processing in Differentially Private Data Federations.
Proc. VLDB Endow., 2018
Shrinkwrap: Differentially-Private Query Processing in Private Data Federations.
CoRR, 2018
2017
Private Exploration Primitives for Data Cleaning.
CoRR, 2017
Scaling Private Record Linkage using Output Constrained Differential Privacy.
CoRR, 2017
Composing Differential Privacy and Secure Computation: A Case Study on Scaling Private Record Linkage.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017
2016
Differential Privacy in the Wild: A tutorial on current practices & open challenges.
Proc. VLDB Endow., 2016
A Demonstration of VisDPT: Visual Exploration of Differentially Private Trajectories.
Proc. VLDB Endow., 2016
2015
DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems.
Proc. VLDB Endow., 2015
2014
Blowfish privacy: tuning privacy-utility trade-offs using policies.
Proceedings of the International Conference on Management of Data, 2014