Obliviator Reveals the Cost of Nonlinear Guardedness in Concept Erasure

ArXi:2603.07529v1 Announce Type: new Concept erasure aims to remove unwanted attributes, such as social or graphic factors, from learned representations, while preserving their task-relevant utility. While the goal of concept erasure is protection against all adversaries, existing methods remain vulnerable to nonlinear ones. This vulnerability arises from their failure to fully capture the complex, nonlinear statistical dependencies between learned representations and unwanted attributes.