The applicability of the perturbation based privacy preserving data mining for real-world data

By Li Liu, Murat Kantarcioglu, Bhavani M. Thuraisingham. 2008

54 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Science Applications, Sociology and Political Science

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

1. Jaideep Vaidya
2. Chris Clifton
3. Yu Zhu
4. Vitaly Shmatikov
5. Reza Shokri
6. Jayant R. Haritsa
7. Cynthia Dwork
8. Xiaoqian Jiang

In Computer Science Applications

1. Jaideep Vaidya
2. Yu Zhu
3. Chris Clifton

In Sociology and Political Science

1. Jaideep Vaidya
2. Yu Zhu
3. Chris Clifton

Citations in the corpus

• Privacy Preserving Data Mining (2015, background): “An individually adaptable perturbation model, enabling individuals to choose their own privacy levels was proposed by Liu et al .”