Privid: Practical, Privacy-Preserving Video Analytics Queries

Frank Cangialosi, Neil Agarwal, Venkat Arun, Junchen Jiang, Srinivas Narayana, Anand Sarwate, Ravi Netravali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Analytics on video recorded by cameras in public areas have the potential to fuel many exciting applications, but also pose the risk of intruding on individuals' privacy. Unfortunately, existing solutions fail to practically resolve this tension between utility and privacy, relying on perfect detection of all private information in each video frame-an elusive requirement. This paper presents: (1) a new notion of differential privacy (DP) for video analytics, (ρ,K,ǫ)-eventduration privacy, which protects all private information visible for less than a particular duration, rather than relying on perfect detections of that information, and (2) a practical system called Privid that enforces duration-based privacy even with the (untrusted) analyst-provided deep neural networks that are commonplace for video analytics today. Across a variety of videos and queries, we show that Privid increases error by 1-21% relative to a non-private system.

Original languageEnglish (US)
Title of host publicationProceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2022
PublisherUSENIX Association
Pages209-229
Number of pages21
ISBN (Electronic)9781939133274
StatePublished - 2022
Event19th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2022 - Renton, United States
Duration: Apr 4 2022Apr 6 2022

Publication series

NameProceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2022

Conference

Conference19th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2022
Country/TerritoryUnited States
CityRenton
Period4/4/224/6/22

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Control and Systems Engineering

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