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20172026
most citedUnmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges

2.4k citations · 3.3k across the 39 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.LG2023

Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally

Shawqi Al-Maliki, Adnan Qayyum, Hassan Ali +5

Deep Neural Networks (DNNs) have been the driving force behind many of the recent advances in machine learning. However, research has shown that DNNs are vulnerable to adversarial…

cs.CV2023

R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild

Muhammad Atif Butt, Hassan Ali, Adnan Qayyum +3

Semantic understanding of roadways is a key enabling factor for safe autonomous driving. However, existing autonomous driving datasets provide well-structured urban roads while ign…

cs.LG2023★ 3 cited

Membership Inference Attacks on DNNs using Adversarial Perturbations

Hassan Ali, Adnan Qayyum, Ala Al-Fuqaha +1

Several membership inference (MI) attacks have been proposed to audit a target DNN. Given a set of subjects, MI attacks tell which subjects the target DNN has seen during training.…

cs.RO2023★ 1 cited

Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques

Mohammed Aledhari, Mohamed Rahouti, Junaid Qadir +3

This article outlines the architecture of autonomous driving and related complementary frameworks from the perspective of human comfort. The technical elements for measuring Autono…

cs.AI2023★ 3 cited

Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses?

Adnan Qayyum, Muhammad Bilal, Muhammad Hadi +5

Recent advancements in technology, particularly in machine learning (ML), deep learning (DL), and the metaverse, offer great potential for revolutionizing surgical science. The com…

cs.LG2023★ 3 cited

Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models

Hassan Ali, Muhammad Atif Butt, Fethi Filali +2

Recent works have shown that deep learning (DL) models can effectively learn city-wide crowd-flow patterns, which can be used for more effective urban planning and smart city manag…

cs.SI2023

Topic Modeling Based on Two-Step Flow Theory: Application to Tweets about Bitcoin

Aos Mulahuwaish, Matthew Loucks, Basheer Qolomany +1

Digital cryptocurrencies such as Bitcoin have exploded in recent years in both popularity and value. By their novelty, cryptocurrencies tend to be both volatile and highly speculat…