Machine learning tasks may admit multiple competing models that achieve
...
We introduce a new differential privacy (DP) accountant called the
saddl...
Most differential privacy mechanisms are applied (i.e., composed) numero...
We consider the problem of producing fair probabilistic classifiers for
...
We investigate the problem of representing information measures in terms...
We consider a channel Y=X+N where X is a random variable satisfying
𝔼[|X...
We present the optimal design of a spectral method widely used to initia...