Before revision:  We further analyze the generalization error, the excess empirical risk, and the excess population risk of our proposed method and give corresponding bounds . By introducing algorithmic stability theory to pairwise differential privacy, our theoretical analysis does   not require convex pairwise loss functions, which means that our method is general to both convex and non-convex conditions.
After revision:  We further analyze the generalization error, the excess empirical risk, and the excess population risk of our proposed method and give corresponding bounds under both expectation and high probability conditions. We use the not require convex pairwise loss functions, which means that our method is general to both convex and non-convex conditions.