Copy-paste attacks: Targeted physical world attacks on self-driving
Chuanxiang Bi Faculty of Engineering and Technology, Panyapiwat Institute of Management, Nonthaburi, Thailand Jian Qu Faculty of Engineering and Technology, Panyapiwat Institute of Management, Nonthaburi, Thailand DOI: https://doi.org/10.14456/apst.2025.62 Keywords: Deep neural networks Copy-Paste Attack Adversarial attacks ResNet26-CBAM Adversarial trained Abstract Deep neural networks are susceptible to adversarial attacks, which ranging from unseen perturbations to tiny […]
