Jan 30, 2020 · The presented approach transforms raw sensor data into a new format that has a "style" (sensitive information) of random noise and a "content" ( ...

Our target in this paper is to propose a data transformation method that prevents all sensitive information from being inferred at once and maintain the desired ...

The implementation and experiments demonstrate that the proposed data transformation technique can achieve the protection for all sensitive information at ...

The presented approach transforms raw sensor data into a new format that has a "style" (sensitive information) of random noise and a "content" (desired ...

The goal of these transformations are to reduce the sensitive inference accuracy while maintaining the accuracy of desired inferences. ... ... It is worth ...

The presented approach transforms raw sensor data into a new format that has a 'style' (sensitive information) of random noise and a 'content' (desired ...

Collective Protection: Preventing Sensitive Inferences via Integrative Transformation. D. Zhang, L. Yao, K. Chen, G. Long, and S. Wang. ICDM, page 1498-1503 ...

Collective protection: Preventing sensitive inferences via integrative transformation. D Zhang, L Yao, K Chen. 2019 IEEE International Conference on Data ...

Collective Protection: Preventing Sensitive Inferences via Integrative Transformation · Dalin ZhangLina YaoKaixuan ChenGuodong LongSen Wang. Computer Science.

Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, Sen Wang (2019) Collective Protection: Preventing Sensitive Inferences via Integrative Transformation .