Assisting Users in a World Full of Cameras: A Privacy-Aware Infrastructure for Computer Vision Applications
By Anupam Das, Martin Degeling, Xiaoyou Wang, Junjue Wang, Norman M. Sadeh, Mahadev Satyanarayanan. 2017
71 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
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
- Zsolt Kira
- Yen-Chang Hsu
- James Smith
- Hongxia Jin
- Yilin Shen
- Jonathan C. Balloch
- M. G. Sarwar Murshed
- Daqing Hou
In Computer Vision and Pattern Recognition
- Yen-Chang Hsu
- Zsolt Kira
- M. G. Sarwar Murshed
- Daqing Hou
- Hongxia Jin
- Faraz Hussain
- Yilin Shen
- Chris Murphy
Citations in the corpus
- Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning (2021, background): “This is concerning for many computer vision applications because 1) Many computer vision applications are on-device and therefore memory constrained [17, 37, 54], and 2) Many computer vision applications learn from data which cannot be legally stored [6, 12, 64].”
- Machine Learning at the Network Edge: A Survey (2019, background): “have developed a distributed privacy infrastructure that can automatically discover nearby IoT devices and notify users about what data is collected about them and how it is used [32].”