Xiaoyi Wang

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...