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NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems
Wearable EEG systems may expose sensitive information beyond their intended health function, creating substantial risks to neuroprivacy. In this work, we show that commonly used EEG features can reveal participant identity and demographic attributes in addition to supporting the intended cognitive t
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