2023-04-27-ijcnn_2023.md

layout	post
title	Paper accepted at IJCNN 2023
tags	Deep Neural Networks tinyML QKeras Jacobian Regularization Adversarial Attacks

Our paper “Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks” has been accepted at International Joint Conference on Neural Networks (IJCNN) 2023. This work is a collaboration with our colleagues at STMicroelectronics and the first publication of our PETRAS project MAISE (Multimodal AI based Security at the Edge).