The Deep-Match Framework for Event-Related Potential Detection in EEG
2026-03-24T08:51:48Z•5ceae480654fea731ad0432dd56d55ff8c78d321c71ebcfffe9551ed25add71c
BCIDSACEEGELAARISTTS biasagentic-AIbeamformingbiomedical privacychannel modelingdirectional modulationdistributed MLeavesdroppingexplainable MLmassive MIMOnear-fieldover-the-air computingphysical-layer securityprecodingreconfigurable intelligent surfacesreinforcement learningself-aware RF systemsside-channelsub-THzwireless
What happened
Collection of recent arXiv eess_sp papers (24 Mar 2026) covering signal processing, wireless communications, and ML for physical-layer systems. Notable items with security/privacy relevance include: (1) a RIS-enhanced directional modulation paper that formulates secrecy-rate maximization under eavesdropper DOA constraints and proposes RL/DSAC-T and beamforming algorithms (relevant to physical-layer confidentiality and eavesdropper mitigation); (2) a multi-hop over-the-air implementation of a fully-connected neural layer (implications for covert computation, side-channels, and distributed ML-in
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- 5ceae480654fea731ad0432dd56d55ff8c78d321c71ebcfffe9551ed25add71c
- Enrichment time
- 2026-03-24T08:51:48Z
- AI-assisted enrichment
- Yes
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