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23 October 2023 Evaluation of dual attribute adversarial camouflage and counter-AI reconnaissance methods in terms of more realistic spatial alignment
Alexander Schwegmann
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Proceedings Volume 12736, Target and Background Signatures IX; 1273603 (2023) https://doi.org/10.1117/12.2679322
Event: SPIE Security + Defence, 2023, Amsterdam, Netherlands
Abstract
The threat of AI-based surveillance and reconnaissance systems that has emerged in recent years has made it necessary to develop new camouflage and deception measures directed against them. A primary example would be adversarial attack camouflage. This is achieved by employing specifically calculated digital patterns that are more or less conspicuous to human observers but can effectively deceive an AI. In most cases, however, only photo manipulations showing the pattern in optimal frontal positioning are used to evaluate its effectiveness. This paper aims to demonstrate a comprehensive evaluation methodology that examines both the visual conspicuity and effectiveness of AI camouflage and deception methods in terms of spatial and angular positioning, to provide a measure of evaluation as well as advice for the application of patch camouflage. Here, the distances and viewing angles at which DAAC is still effective are investigated to produce a spatial effectiveness map. Consequently, the shape, extent and intensity of the effectiveness range can be used as an evaluation measure.
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Alexander Schwegmann "Evaluation of dual attribute adversarial camouflage and counter-AI reconnaissance methods in terms of more realistic spatial alignment", Proc. SPIE 12736, Target and Background Signatures IX, 1273603 (23 October 2023); https://doi.org/10.1117/12.2679322
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KEYWORDS
Camouflage
Reconnaissance
Artificial intelligence
Distance measurement
Reconnaissance systems
Surveillance
Visualization
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