In modern machine learning, optimization algorithms are crucial; they steer the training process by skillfully navigating through complex, high-dimensional loss landscapes. Among these, stochastic ...

We address the problem of empirical privacy auditing for differentially private stochas- tic gradient descent (DP-SGD) under the hidden state threat model, where adversaries only observe the final ...