Data-Efficient Backdoor Attacks on Code Models via Trigger-Neutralized Counterfactual Scoring
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 and exposure and a lower poisoning rate leaves a smaller footprint for defenses. Which samples to poison there...