Anonymity-preserving data collection
By Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright. 2005
111 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Science Applications
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
- Philip S. Yu
- Benjamin C. M. Fung
- Rui Chen
- Ke Wang
- Charu C. Aggarwal
- Paul Francis
- David R. Choffnes
- Peter Druschel
In Computer Science Applications
Citations in the corpus
- Privacy-preserving data publishing: A survey of recent developments (2010, methodology): “Various cryptographic solutions [Yang et al. 2005]; anonymous communications [Chaum 1981; Jakobsson et al. 2002]; and statistical methods [Warner 1965] were proposed to collect records anonymously from their owners without revealing the owners identity.”
- Towards efficient traffic-analysis resistant anonymity networks (2013, background): “Dining cryptographers (D-C) nets [6, 16] and verifiable shuffles [13, 22, 31] are cryptographic techniques that offer strong resistance to traffic analysis without requiring batching.”