Stones Dalitso Chindipha

Enhancing Adversarial Defense in Phishing Detection Using Deep Reinforcement Learning

Phishing classifiers trained on static data can underperform when slight adversarial modifications are made to URLs and HTML to evade both humans and traditional machine learning algorithms. During this research, a published XGBoost baseline from Aljofey et al. was reproduced and verified for reproducibility with multi...