1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Implementation of the Collision Avoidance System for DO-178C Compliance
Rim Zrelli, Henrique Amaral Misson, Sorelle Kamkuimo +4
This technical report presents the detailed implementation of a Collision Avoidance System (CAS) for Unmanned Aerial Vehicles (UAVs), developed as a case study to demonstrate a rig…
Quantum Enhanced Anomaly Detection for ADS-B Data using Hybrid Deep Learning
Rani Naaman, Felipe Gohring de Magalhaes, Jean-Yves Ouattara +1
The emerging field of Quantum Machine Learning (QML) has shown promising advantages in accelerating processing speed and effectively handling the high dimensionality associated wit…
Efficient Defense Against Model Stealing Attacks on Convolutional Neural Networks
Kacem Khaled, Mouna Dhaouadi, Felipe Gohring de Magalhães +1
Model stealing attacks have become a serious concern for deep learning models, where an attacker can steal a trained model by querying its black-box API. This can lead to intellect…