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Hierarchical Privacy-Preserving and Communication-Efficient Compression via Compressed Sensing

Citation Author(s):
Submitted by:
Hui Huang
Last updated:
19 February 2023 - 3:02am
Document Type:
Poster
Document Year:
2023
Event:
Presenters:
Hui Huang
 

Data collection and sharing have a tremendous impact on technology, business and society. Correspondingly, it brings in significant privacy and communication concerns. To this end, we present a hierarchical privacy-preserving and communication-efficient compression scheme via compressed sensing (CS) to address these two issues. In the encoding stage, the
obfuscated sensitive regions and non-sensitive regions are compressed and encrypted simultaneously. Consequently, the semi-authorized users and authorized users are considered in the decoding stage. Additionally, the left annihilator matrices provide various kinds of recovery qualities for real-world requirements, which further achieves communication-efficient compression.

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