Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312370142> ?p ?o ?g. }
- W4312370142 endingPage "521" @default.
- W4312370142 startingPage "504" @default.
- W4312370142 abstract "With over a billion sold each year, cameras are not only becoming ubiquitous, but are driving progress in a wide range of domains such as mixed reality, robotics, and more. However, severe concerns regarding the privacy implications of camera-based solutions currently limit the range of environments where cameras can be deployed. The key question we address is: Can cameras be enhanced with a scalable solution to preserve users’ privacy without degrading their machine intelligence capabilities? Our solution is a novel end-to-end adversarial learning pipeline in which a phase mask placed at the aperture plane of a camera is jointly optimized with respect to privacy and utility objectives. We conduct an extensive design space analysis to determine operating points with desirable privacy-utility tradeoffs that are also amenable to sensor fabrication and real-world constraints. We demonstrate the first working prototype that enables passive depth estimation while inhibiting face identification." @default.
- W4312370142 created "2023-01-04" @default.
- W4312370142 creator A5003054184 @default.
- W4312370142 creator A5004196500 @default.
- W4312370142 creator A5005331673 @default.
- W4312370142 creator A5046609009 @default.
- W4312370142 creator A5047270197 @default.
- W4312370142 creator A5059431735 @default.
- W4312370142 creator A5073971393 @default.
- W4312370142 date "2022-01-01" @default.
- W4312370142 modified "2023-09-24" @default.
- W4312370142 title "Learning Phase Mask for Privacy-Preserving Passive Depth Estimation" @default.
- W4312370142 cites W125693051 @default.
- W4312370142 cites W1903029394 @default.
- W4312370142 cites W1948059718 @default.
- W4312370142 cites W1956925690 @default.
- W4312370142 cites W1977028487 @default.
- W4312370142 cites W2057047227 @default.
- W4312370142 cites W2074138121 @default.
- W4312370142 cites W2091043437 @default.
- W4312370142 cites W2108598243 @default.
- W4312370142 cites W2109426455 @default.
- W4312370142 cites W2133665775 @default.
- W4312370142 cites W2146064221 @default.
- W4312370142 cites W2420833890 @default.
- W4312370142 cites W2510500429 @default.
- W4312370142 cites W2549139847 @default.
- W4312370142 cites W2560797154 @default.
- W4312370142 cites W2794572859 @default.
- W4312370142 cites W2798373498 @default.
- W4312370142 cites W2809008759 @default.
- W4312370142 cites W2809900749 @default.
- W4312370142 cites W2886610278 @default.
- W4312370142 cites W2890680318 @default.
- W4312370142 cites W2912213068 @default.
- W4312370142 cites W2936152153 @default.
- W4312370142 cites W2944006115 @default.
- W4312370142 cites W2947709300 @default.
- W4312370142 cites W2956039874 @default.
- W4312370142 cites W2963257145 @default.
- W4312370142 cites W2963278610 @default.
- W4312370142 cites W2963350032 @default.
- W4312370142 cites W2963470893 @default.
- W4312370142 cites W2963488291 @default.
- W4312370142 cites W2963524571 @default.
- W4312370142 cites W2963839617 @default.
- W4312370142 cites W2964018718 @default.
- W4312370142 cites W2968547179 @default.
- W4312370142 cites W2990946490 @default.
- W4312370142 cites W2991172647 @default.
- W4312370142 cites W2997378229 @default.
- W4312370142 cites W3000068786 @default.
- W4312370142 cites W3019205968 @default.
- W4312370142 cites W3034348260 @default.
- W4312370142 cites W3034683395 @default.
- W4312370142 cites W3034723120 @default.
- W4312370142 cites W3035265715 @default.
- W4312370142 cites W3035679448 @default.
- W4312370142 cites W3081167590 @default.
- W4312370142 cites W3098131897 @default.
- W4312370142 cites W3101998545 @default.
- W4312370142 cites W3176380844 @default.
- W4312370142 cites W3176833789 @default.
- W4312370142 cites W4214520160 @default.
- W4312370142 doi "https://doi.org/10.1007/978-3-031-20071-7_30" @default.
- W4312370142 hasPublicationYear "2022" @default.
- W4312370142 type Work @default.
- W4312370142 citedByCount "1" @default.
- W4312370142 countsByYear W43123701422023 @default.
- W4312370142 crossrefType "book-chapter" @default.
- W4312370142 hasAuthorship W4312370142A5003054184 @default.
- W4312370142 hasAuthorship W4312370142A5004196500 @default.
- W4312370142 hasAuthorship W4312370142A5005331673 @default.
- W4312370142 hasAuthorship W4312370142A5046609009 @default.
- W4312370142 hasAuthorship W4312370142A5047270197 @default.
- W4312370142 hasAuthorship W4312370142A5059431735 @default.
- W4312370142 hasAuthorship W4312370142A5073971393 @default.
- W4312370142 hasConcept C154945302 @default.
- W4312370142 hasConcept C159985019 @default.
- W4312370142 hasConcept C192562407 @default.
- W4312370142 hasConcept C199360897 @default.
- W4312370142 hasConcept C204323151 @default.
- W4312370142 hasConcept C26517878 @default.
- W4312370142 hasConcept C31972630 @default.
- W4312370142 hasConcept C34413123 @default.
- W4312370142 hasConcept C37736160 @default.
- W4312370142 hasConcept C38652104 @default.
- W4312370142 hasConcept C41008148 @default.
- W4312370142 hasConcept C43521106 @default.
- W4312370142 hasConcept C48044578 @default.
- W4312370142 hasConcept C77088390 @default.
- W4312370142 hasConcept C90509273 @default.
- W4312370142 hasConceptScore W4312370142C154945302 @default.
- W4312370142 hasConceptScore W4312370142C159985019 @default.
- W4312370142 hasConceptScore W4312370142C192562407 @default.
- W4312370142 hasConceptScore W4312370142C199360897 @default.
- W4312370142 hasConceptScore W4312370142C204323151 @default.
- W4312370142 hasConceptScore W4312370142C26517878 @default.