2026
A Reinforcement Learning-Driven Adversarial Attack Methods With Dynamic Perturbation Optimization
Pretrained programming language models (PLMs) have shown strong performance in software engineering tasks, but remain vulnerable to adversarial attacks. Traditional methods rely on narrow, static perturbation strategies, leading to poor diversity and a combinatorial explosion of the search space when multiple operation...
Lulu Wang, Xiaoyi Wang, Xiaoning Du et al.
· IEEE Transactions on Reliabi... · 0 citations