3 papers
quant-ph2026
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…
cs.LG2025
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…
cs.SE2025
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…