Quantitative Analysis of Deeply Quantized Tiny Neural Networks Robust to Adversarial Attacks

Idris Zakariyya, Ferheen Ayaz, Mounia Kharbouche-Harrari +4

Reducing the memory footprint of Machine Learning (ML) models, especially Deep Neural Networks (DNNs), is imperative to facilitate their deployment on resource-constrained edge dev…