World-Driven Access Control for Continuous Sensing
By Franziska Roesner, David A. Molnar, Alexander Moshchuk, Tadayoshi Kohno, Helen J. Wang. 2014
136 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Science Applications, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Amir Rahmati
- Nisarg Raval
- Ashwin Machanavajjhala
- David J. Crandall
- Daniel Kifer
- Kamalika Chaudhuri
- Adam D. Smith
- Ninghui Li
In Computer Science Applications
In Signal Processing
Citations in the corpus
- Protecting Visual Information in Augmented Reality from Malicious Application Developers (2019, background): “Related works address these privacy concerns by taint-tracking and controlling information flow [8– 10, 14, 22] or adding an intermediate layer to preprocess frames and filter out sensitive visual information [4, 12, 20, 21].”
- MarkIt: privacy markers for protecting visual secrets (2014, background): “[15] argued that access control policies should be specified by the objects themselves in continuous sensing platforms.”
- Enhancing Lifelogging Privacy by Detecting Screens (2016, background): “…for people to manually tag each image [21], or to annotate or modify their physical spaces in order to make computer monitors easy to detect [31, 33], and would complement systems that detect photos taken in sensitive places like bathrooms or bedrooms [36] or when people are performing certain…”
- What You Mark is What Apps See (2016, background): “In world-driven access-control (WDAC) [15], real-world objects broadcast access-control policies to nearby recording devices.”