Presentation
1 November 2024 Counter AI methods against visual reconnaissance
Author Affiliations +
Abstract
Due to the enormous development in the field of artificial intelligence, especially in the area of reconnaissance, detection and recognition, it has become absolutely necessary to think about methods of concealing one's own military units from this new threat. This publication aims to provide an overview of counter ai approaches against enemy reconnaissance, and the possibilities to assess the effectiveness of these methods. It will focus on explainable AI and the camouflaging of key features as well as the possibility of dual attribute adversarial attack camouflage. These are mathematically optimised patterns that drive an AI-based classifier to an incorrect classification or simply suppress the correct classification. We also discuss the robustness of these patterns.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexander Schwegmann and Claudia S. Hübner "Counter AI methods against visual reconnaissance", Proc. SPIE 13199, Target and Background Signatures X: Traditional Methods and Artificial Intelligence, 1319903 (1 November 2024); https://doi.org/10.1117/12.3033914
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KEYWORDS
Artificial intelligence

Reconnaissance

Visualization

Image classification

Camouflage

Mathematical optimization

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