Our work “3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models” was accepted in the journal Machine Learning. The paper is freely available at https://link.springer.com/article/10.1007/s10994-022-06235-3. It presents a novel method to verify the robustness against attacks of machine learning models aimed at classifying 3D Point Cloud data.

Our tool, 3DVerifier is also released, including its source code. You can find it at https://github.com/TrustAI/3DVerifier.