Causal Discovery Under Local Differential Privacy

Locally differentially private mechanisms, such as Geometric and k-Ary Randomized Response, have varying impacts on the performance of causal discovery algorithms. Geometric privatization methods generally outperform k-RR in preserving the causal structure of multidimensional data.