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A Human-in-the-Middle Attack against Object Detection Systems
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 …
robotics thanks to the rising power of central processing units (CPUs) and graphics …
Enhancing Resilience: Redundancy Reduction for Object Detection in Adversarial Conditions
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 …
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 …
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 …
global trade and defence. The evolution towards maritime autonomous systems, often …