all InfoSec news
FLIP: A Utility Preserving Privacy Mechanism for Time Series. (arXiv:2207.07721v1 [cs.CR])
July 19, 2022, 1:20 a.m. | Tucker McElroy, Anindya Roy, Gaurab Hore
cs.CR updates on arXiv.org arxiv.org
Guaranteeing privacy in released data is an important goal for data-producing
agencies. There has been extensive research on developing suitable privacy
mechanisms in recent years. Particularly notable is the idea of noise addition
with the guarantee of differential privacy. There are, however, concerns about
compromising data utility when very stringent privacy mechanisms are applied.
Such compromises can be quite stark in correlated data, such as time series
data. Adding white noise to a stochastic process may significantly change the
correlation …
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
SOC 2 Manager, Audit and Certification
@ Deloitte | US and CA Multiple Locations
Security Architect - Hardware
@ Intel | IND - Bengaluru
Elastic Consultant
@ Elastic | Spain
OT Cybersecurity Specialist
@ Emerson | Abu Dhabi, United Arab Emirates
Security Operations Program Manager
@ Kaseya | Miami, Florida, United States
Senior Security Operations Engineer
@ Revinate | Vancouver