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  • title: Physically-Constrained Adversarial Attacks on Brain-Machine Interfaces
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            Physically-Constrained Adversarial Attacks on Brain-Machine Interfaces
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            Physically-Constrained Adversarial Attacks on Brain-Machine Interfaces

            Dec 2, 2022

            Speakers

            XW

            Xiaying Wang

            Speaker · 0 followers

            ORQS

            Octavio R. Q. Siller

            Speaker · 0 followers

            MH

            Michael Hersche

            Speaker · 0 followers

            About

            Deep learning (DL) has been widely employed in brain–machine interfaces (BMIs) to decode subjects' intentions based on recorded brain activities enabling direct interaction with machines. BMI systems play a crucial role in medical applications and have recently gained an increasing interest as consumer-grade products. Failures in such systems might cause medical misdiagnoses, physical harm, and financial loss. Especially with the current market boost of such devices, it is of utmost importance t…

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            NeurIPS 2022

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