DivQAT: Enhancing Robustness of Quantized Convolutional Neural Networks against Model Extraction Attacks

Kacem Khaled, Felipe Gohring de Magalhães, Gabriela Nicolescu

Convolutional Neural Networks (CNNs) and their quantized counterparts are vulnerable to extraction attacks, posing a significant threat of IP theft. Yet, the robustness of quantize…