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STAR-RL: Stealth-Aware Targeted Adversarial Attack on Multimodal Sensors in Human Activity Recognition via Reinforcement Learning

2026-01-09

Abstract excerpt

Deep learning-based Human Activity Recognition (HAR) systems using multimodal wearable sensors are increasingly deployed in safety-critical applications including healthcare monitoring, elderly care, and security authentication. However, the vulnerability of these systems to adversarial attacks remains insufficiently understood, particularly for attacks that must evade detection while manipulating multiple sensor...

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Literature Corpus work
f4bae583-843d-509c-bc23-295f8be0bf0d
DOI
10.20944/preprints202601.0738.v1
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STAR-RL: Stealth-Aware Targeted Adversarial Attack on Multimodal Sensors in Human Activity Recognition via Reinforcement LearningDOI 10.20944/preprints202601.0738.v1
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