Data-Efficient Backdoor Attacks on Code Models via Trigger-Neutralized Counterfactual Scoring.

arXiv:2610.32334v1 Announce Type: cross Abstract: Pre-trained code models are exposed to backdoor poisoning, in which crafted training samples make the model misbehave on a trigger. A capable attacker minimizes the number of such samples, since each adds cost