E-LIB Suche - Ergebnisse für: Machanavajjhala, Ashwin

1

R2T: Instance-optimal Truncation for Differentially Private..:

Dong, Wei ; Fang, Juanru ; Yi, Ke..
ACM SIGMOD Record. 52 (2023) 1 - p. 115-123 , 2023

2

PreFair: Privately Generating Justifiably Fair Synthetic Da..:

Pujol, David ; Gilad, Amir ; Machanavajjhala, Ashwin
Proceedings of the VLDB Endowment. 16 (2023) 6 - p. 1573-1586 , 2023

Link: https://doi.org/10.14778..

3

Optimizing Error of High-Dimensional Statistical Queries Un..:

McKenna, Ryan ; Miklau, Gerome ; Hay, Michael.
Journal of Privacy and Confidentiality. 13 (2023) 1 - p. , 2023

Link: https://doi.org/10.29012..

4

DP-PQD: Privately Detecting Per-Query Gaps in Synthetic Dat..:

Patwa, Shweta ; Sun, Danyu ; Gilad, Amir..
Proceedings of the VLDB Endowment. 17 (2023) 1 - p. 65-78 , 2023

Link: https://doi.org/10.14778..

5

Explaining Differentially Private Query Results with DPXPla..:

Wang, Tingyu ; Tao, Yuchao ; Gilad, Amir..
Proceedings of the VLDB Endowment. 16 (2023) 12 - p. 3962-3965 , 2023

Link: https://doi.org/10.14778..

6

Longshot: Indexing Growing Databases Using MPC and Differen..:

Zhang, Yanping ; Bater, Johes ; Nayak, Kartik.
Proceedings of the VLDB Endowment. 16 (2023) 8 - p. 2005-2018 , 2023

Link: https://doi.org/10.14778..

7

R2T: Instance-optimal Truncation for Differentially Private..:

, In: Proceedings of the 2022 International Conference on Management of Data,

Dong, Wei ; Fang, Juanru ; Yi, Ke.. - p. 759-772 , 2022

Link: https://dl.acm.org/doi/1..

8

IncShrink: Architecting Efficient Outsourced Databases usin..:

, In: Proceedings of the 2022 International Conference on Management of Data,

Wang, Chenghong ; Bater, Johes ; Nayak, Kartik. - p. 818-832 , 2022

Link: https://dl.acm.org/doi/1..

9

DPXPlain: privately explaining aggregate query answers:

Tao, Yuchao ; Gilad, Amir ; Machanavajjhala, Ashwin.
Proceedings of the VLDB Endowment. 16 (2022) 1 - p. 113-126 , 2022

Link: https://doi.org/10.14778..

10

DP-Sync: Hiding Update Patterns in Secure Outsourced Databa..:

, In: Proceedings of the 2021 International Conference on Management of Data,

Wang, Chenghong ; Bater, Johes ; Nayak, Kartik. - p. 1892-1905 , 2021

Link: https://dl.acm.org/doi/1..

11

Equity and Privacy: More Than Just a Tradeoff:

Pujol, David ; Machanavajjhala, Ashwin
IEEE Security & Privacy. 19 (2021) 6 - p. 93-97 , 2021

Link: https://doi.org/10.1109/..

12

Budget sharing for multi-analyst differential privacy:

Pujol, David ; Wu, Yikai ; Fain, Brandon.
Proceedings of the VLDB Endowment. 14 (2021) 10 - p. 1805-1817 , 2021

Link: https://doi.org/10.14778..

13

DP-cryptography : marrying differential privacy and cryp..:

Wagh, Sameer ; He, Xi ; Machanavajjhala, Ashwin.
Communications of the ACM. 64 (2021) 2 - p. 84-93 , 2021

Link: https://dl.acm.org/doi/1..

14

Synthesizing Linked Data Under Cardinality and Integrity Co..:

, In: Proceedings of the 2021 International Conference on Management of Data,

Gilad, Amir ; Patwa, Shweta ; Machanavajjhala, Ashwin - p. 619-631 , 2021

Link: https://dl.acm.org/doi/1..

15

DP-cryptography: marrying differential privacy and cryptogr..:

Wagh, Sameer ; He, Xi ; Machanavajjhala, Ashwin.
Communications of the ACM. 64 (2021) 2 - p. 84-93 , 2021

Link: https://doi.org/10.1145/..