Surely this isn’t possible. A confusion matrix provides the values of TP, FP, TN and FN at a given classifier threshold i.e. a probability value, corresponding to a single point on a ROC curve. Conversely, if you already have a ROC curve (and hence AUC), then you can generate a different confusion matrix for any point on the curve.