… The Composition Theorem for Differential Privacy We start with the view of differential privacy
as providing certain guarantees for the two error types (false alarm and missed detection) …

… We demonstrate the utility of our composition method by computing the privacy curves for
the DP-SGD algorithm, which is one of the most important algorithms in differential privacy. …

… differential privacy. That bound is weaker than even the basic (suboptimal) composition theorem
for noninteractive differential privacy… composition for other variants of differential privacy. …

… We study composition properties of differential privacy in concurrent compositions. In this
setting, an adversary interacts with k interactive mechanisms in parallel and can interleave its …

… In the practice of differential privacy, we generally think of \(\… One of the important properties
of differential privacy is that if … , albeit with some degradation in the privacy parameters \((\…

… This is because our goal is not differential privacy, but rather tight control over privacy loss.
We conjecture that a version of our privacy odometer (in Theorem 3) that replaces pDP by DP …

… We prove that all composition theorems for non-interactive differentially private mechanisms
… composition of interactive differentially private mechanisms, whenever differential privacy is …

… differential privacy, which subsumes standard pure differential privacy and Gaussian differential
privacy… We prove the parallel composition theorem for f-differential privacy. We evaluate …

… Composition is one of the most important properties of differential privacy (DP), as it
allows … We consider precise composition bounds of the overall privacy loss for exponential …

… expansion, the (ε, δ)-differential privacy bounds offered by this accountant are non-… of
compositions. Finally, we demonstrate that our upper and lower (ε, δ)-differential privacy bounds …