Open Access
ARTICLE
A Novel Attack on Complex APUFs Using the Evolutionary Deep Convolutional Neural Network
1 Department of Industrial Engineering, Sharif University of Technology, Tehran, 14588-89694, Iran
2 Department of Business Administration, Boston University, Boston, MA, 02215, USA
3 Department of Industrial Engineering, University of Houston, Houston, TX, 77204, USA
4 ETSI de Telecomunicación, Universidad Politécnica de Madrid, Madrid, 28040, Spain
* Corresponding Author: Diego Martín. Email: