News tagged with adversarial examples

Study unveils security vulnerabilities in EEG-based brain-computer interfaces

Brain-computer interfaces (BCIs) are tools that can connect the human brain with an electronic device, typically using electroencephalography (EEG). In recent years, advances in machine learning (ML) have enabled the development ...

Feb 13, 2020 feature

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How to tell whether machine-learning systems are robust enough for the real world

MIT researchers have devised a method for assessing how robust machine-learning models known as neural networks are for various tasks, by detecting when the models make mistakes they shouldn't.

May 10, 2019

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News tagged with adversarial examples

Study unveils security vulnerabilities in EEG-based brain-computer interfaces

How to tell whether machine-learning systems are robust enough for the real world

Phys.org

MedicalXpress

ScienceX

News tagged with adversarial examples

Study unveils security vulnerabilities in EEG-based brain-computer interfaces

How to tell whether machine-learning systems are robust enough for the real world

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