Our preliminary experiments have shown that the effectiveness of the existing methods often drastically decrease or even fail when tackling lip-syncing videos.

Lipschitzness, which we make precise in Section 2 and in Assumption 3.1.

Our preliminary results suggest that the regularized exponential mechanism can effectively emulate previous empirical and population risk bounds, negating the need for smoothness assumptions for algorithms with polynomial running time.

Instead, we apply powerful machine learning models for one-class (Moya et al., 1993) or