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QIF-T0019

medium

Universal adversarial perturbation (UAP)

Tier 3 — Demonstrated (Lab-proven)

Legacy status: DEMONSTRATED

Single perturbation pattern that fools BCI decoder regardless of input. Works across subjects and sessions. Pre-computed offline, applied in real-time. Lower sophistication than targeted attacks.

Technique Details

Tactic
QIF-M.SV
Status
DEMONSTRATED
Bands
S1, S2

Therapeutic Application

Single perturbation vector effective against any input sample to a BCI classifier

Neural Impact

2 of 7 neural bands affected

S1 S2

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Scoring

NISS v1.1 NISS:1.1/BI:L/CR:H/CD:H/CV:I/RV:P/NP:N
CVSS v4.0 CVSS:4.0/AV:A/AC:L/AT:P/PR:L/UI:N/VC:L/VI:H/VA:L/SC:L/SI:H/SA:L
5.4Medium
BICRCDCVRVNP
 

Governance

Neurorights at Risk

This technique threatens 3 of the 4 proposed neurorights (Ienca & Andorno, 2017).

Consent Complexity
0.30 / 4.0

FDORA §3305 Compliance

Cyber Device
Regulatory Coverage
0.7 / 1.0
524B Requirements
TM VA SBOM SA PM
Regulatory Gaps
  • ! CVSS partially captures risk; neural dimensions missing

Population Vulnerability

CRB vulnerability adjustment (γ=0.30) accounts for age, diagnosis severity, consent capacity, and device dependency.

Population NISS Base Adjusted Severity Delta
Adult (Default) 5.4 5.4 Medium -
Child (10yr) + ADHD 5.4 6.4 Medium +0.95
Adult with ALS 5.4 6.3 Medium +0.87

Validation Status

Theoretical / Not yet validated. This technique has not been independently tested. See the validation dashboard for what has been tested.

Qinnovate Neural Security Atlas Edit this on GitHub