Differential Privacy (DP) relies on random numbers to preserve privacy,
...
Data protection algorithms are becoming increasingly important to suppor...
Differential privacy is among the most prominent techniques for preservi...
Federated Learning (FL) is an approach to conduct machine learning witho...
Since its conception in 2006, differential privacy has emerged as the
de...
Privacy is of the utmost concern when it comes to releasing data to thir...
The Laplace mechanism is the workhorse of differential privacy, applied ...
The explosion in volume and variety of data offers enormous potential fo...