A Human-in-the-Middle Attack against Object Detection Systems

H Wu, S Rowlands, J Wahlström - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Object detection systems using deep learning models have become increasingly popular in
robotics thanks to the rising power of central processing units (CPUs) and graphics …

Enhancing Resilience: Redundancy Reduction for Object Detection in Adversarial Conditions

S Agarwal, R Birman, O Hadar - 2024 IEEE Space, Aerospace …, 2024 - ieeexplore.ieee.org
Vision systems, like other deep learning-based systems, encounter limitations due to
training data and struggle to handle adversarial conditions such as varying lighting and …

Practical Adversarial Attacks against Deep Learning Models

H Wu - 2024 - search.proquest.com
Advances in deep neural networks have opened a new era of robotics, intelligent robots.
Compared with traditional robots that perform repetitive tasks based on manual control or …

[PDF][PDF] Adversarial AI Testcases for Maritime Autonomous Systems

A Barrett, D Walker - 2023 - pearl.plymouth.ac.uk
Contemporary maritime operations such as ship** are a vital component constituting
global trade and defence. The evolution towards maritime autonomous systems, often …