Rethinking Molecular Graph Backdoors under Chemistry-aware Admission

Thinh T. H. Nguyen, Sze Jue Yang, Khoa D. Doan +2

Backdoor attacks on molecular graph neural networks (GNNs) are typically evaluated as abstract graph edits, but real molecular learning pipelines do not train on arbitrary graphs.…