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A Novel Attack on Complex APUFs Using the Evolutionary Deep Convolutional Neural Network

Ali Ahmadi Shahrakht1, Parisa Hajirahimi2, Omid Rostami3, Diego Martín4,*

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: email

TSP_IASC_40502.pdf

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