Scalable and Private Media Consumption with Popcorn
By Trinabh Gupta, Natacha Crooks, Whitney Mulhern, Srinath T. V. Setty, Lorenzo Alvisi, Michael Walfish. 2016
127 citations recorded by the source corpus.
Subfields: Privacy & Security
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Privacy & Security
- Srinath T. V. Setty
- Kim Laine
- Hao Chen
- Sebastian Angel
- Ryan Henry
- Carlos Aguilar Melchor
- Laurent Fousse
- Marc-Olivier Killijian
Citations in the corpus
- Private Stateful Information Retrieval (2018, neutral): “3243821 advertisement [25] and media consumption [27].”
- PIR with Compressed Queries and Amortized Query Processing (2018, methodology): “Popcorn [44] pipelines the processing of queries in IT-PIR in order to amortize disk I/O which is a bottleneck for databases with very large files.”
- XPIR : Private Information Retrieval for Everyone (2016, background): “Note: In [46] Gupta et al.”
- Polynomial Batch Codes for Efficient IT-PIR (2016, background): “The restriction r + l ≤ 65 536 is much less severe and may be acceptable for some compelling applications, such as speeding up a recently proposed Netflix-inspired private video streaming service [32] that needs only support up to a few tens of thousands of titles.”
- This Paper Is Included in the Proceedings of the 12th Usenix Symposium on Operating Systems Design and Implementation (osdi '16). Unobservable Communication over Fully Untrusted Infrastructure Unobservable Communication over Fully Untrusted Infrastructure (unknown): “Pung then introduces a private multi-retrieval scheme that departs from most prior approaches (e.g., [18] [64] [67] [86]) in two ways.”