Thomas Sesmat

Where Rectified Flows Leak: Characterizing Membership Signals Along the Interpolation Path

Understanding what generative models retain from training data remains challenging, with implications for copyright and privacy. This question becomes particularly relevant as Rectified Flows power increasingly deployed systems. We analyze the interpolation path $X_\lambda = (1-\lambda)X_0 + \lambda…