ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1808.01949
  4. Cited By
OptStream: Releasing Time Series Privately
v1v2 (latest)

OptStream: Releasing Time Series Privately

6 August 2018
Ferdinando Fioretto
Pascal Van Hentenryck
ArXiv (abs)PDFHTML

Papers citing "OptStream: Releasing Time Series Privately"

5 / 5 papers shown
Bistochastically private release of data streams with zero delay
Bistochastically private release of data streams with zero delay
Nicolas Ruiz
105
1
0
25 Feb 2024
Differential Privacy for Class-based Data: A Practical Gaussian
  Mechanism
Differential Privacy for Class-based Data: A Practical Gaussian MechanismIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Raksha Ramakrishna
Anna Scaglione
Tong Wu
Nikhil Ravi
S. Peisert
221
7
0
08 Jun 2023
No One Size (PPM) Fits All: Towards Privacy in Stream Processing Systems
No One Size (PPM) Fits All: Towards Privacy in Stream Processing SystemsDistributed Event-Based Systems (DEBS), 2023
Mikhail Fomichev
Manisha Luthra
Maik Benndorf
Pratyush Agnihotri
396
7
0
01 May 2023
FLIP: A Utility Preserving Privacy Mechanism for Time Series
FLIP: A Utility Preserving Privacy Mechanism for Time SeriesJournal of machine learning research (JMLR), 2022
T. McElroy
A. Roy
Gaurab Hore
AI4TS
121
7
0
15 Jul 2022
Continuous Release of Data Streams under both Centralized and Local
  Differential Privacy
Continuous Release of Data Streams under both Centralized and Local Differential Privacy
Tianhao Wang
Joann Qiongna Chen
Zhikun Zhang
D. Su
Yueqiang Cheng
Zhou Li
Ninghui Li
S. Jha
221
94
0
24 May 2020
1
Page 1 of 1