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20232026
most citedPhysical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook

5 citations · 10 across the 16 of their papers we have counts for

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7 papers · 1 filter

cs.CR2023

Enhancing IoT Security via Automatic Network Traffic Analysis: The Transition from Machine Learning to Deep Learning

Mounia Hamidouche, Eugeny Popko, Bassem Ouni

This work provides a comparative analysis illustrating how Deep Learning (DL) surpasses Machine Learning (ML) in addressing tasks within Internet of Things (IoT), such as attack cl…

cs.CR2023★ 1 cited

DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction

Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif +2

Adversarial patch-based attacks have shown to be a major deterrent towards the reliable use of machine learning models. These attacks involve the strategic modification of localize…

cs.CR2023

ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches

Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif +2

Adversarial attacks present a significant challenge to the dependable deployment of machine learning models, with patch-based attacks being particularly potent. These attacks intro…

cs.CR2023★ 5 cited

Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook

Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni +1

In this paper, we present a comprehensive survey of the current trends focusing specifically on physical adversarial attacks. We aim to provide a thorough understanding of the conc…

cs.CV2023★ 1 cited

SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation

Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni +1

In this paper, we investigate the vulnerability of MDE to adversarial patches. We propose a novel \underline{S}tealthy \underline{A}dversarial \underline{A}ttacks on \underline{M}D…

cs.CR2023

An Incremental Gray-box Physical Adversarial Attack on Neural Network Training

Rabiah Al-qudah, Moayad Aloqaily, Bassem Ouni +2

Neural networks have demonstrated remarkable success in learning and solving complex tasks in a variety of fields. Nevertheless, the rise of those networks in modern computing has…

cs.LG2023★ 1 cited

Harris Hawks Feature Selection in Distributed Machine Learning for Secure IoT Environments

Neveen Hijazi, Moayad Aloqaily, Bassem Ouni +2

The development of the Internet of Things (IoT) has dramatically expanded our daily lives, playing a pivotal role in the enablement of smart cities, healthcare, and buildings. Emer…