CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering

@inproceedings{Kaur2017CrowdMaskUC,
  title={CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering},
  author={Harmanpreet Kaur and Mitchell Gordon and Yi Wei Yang and Jeffrey P. Bigham and Jaime Teevan and Ece Kamar and Walter S. Lasecki},
  booktitle={HCOMP},
  year={2017}
}
Crowd-powered systems leverage human intelligence to go beyond the capabilities of automated systems, but also introduce privacy and security concerns because unknown people must view the data that the system processes. While automated approaches cannot robustly filter private information from these datasets, people have the ability to do so if the risk from them viewing the data can be mitigated. We present a crowd-powered approach to masking private content in data by segmenting and… CONTINUE READING

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