AIBearisharXiv – CS AI · 10h ago7/10
🧠
Rethinking Molecular Graph Backdoors under Chemistry-aware Admission
Researchers reveal that molecular graph neural networks face previously underestimated backdoor attack risks when subjected to chemistry-aware validation checks. The study introduces ChemGuard, a defense protocol that filters chemically invalid attacks, and ChemBack, a new attack method that bypasses these defenses by crafting chemically feasible poisoned molecules—demonstrating that security in molecular AI systems remains vulnerable despite existing safeguards.