Neurosecurity lags BCI capability; a full-stack attack-surface taxonomy plus transferable defenses from cyber, hardware security, and private ML can close many gaps immediately.
Joint disentangled representation and domain adversarial training for EEG-based cross-session biometric recognition in single-task protocols
1 Pith paper cite this work, alongside 1 external citations. Polarity classification is still indexing.
1
Pith paper citing it
1
external citations · OpenAlex
fields
cs.CR 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Threat Vectors and the State of the Art in Defense Methods for Security in Neurotechnology
Neurosecurity lags BCI capability; a full-stack attack-surface taxonomy plus transferable defenses from cyber, hardware security, and private ML can close many gaps immediately.