QIF-T0021
mediumFederated gradient leakage
Tier 4 — Demonstrated (Case Study / Observational)
Legacy status: EMERGING
Reconstruct individual neural data from shared gradients in federated BCI training. Multi-site clinical trials share model updates. Gradient inversion recovers raw EEG with high fidelity.
Technique Details
- Tactic
- QIF-M.SV
- Status
- EMERGING
- Bands
- S2, S3
✚ Therapeutic Application
Reconstruction of individual neural data from shared gradient updates in federated BCI training
Clinical Analog
Federated learning for multi-site clinical BCI trials
Treats
- multi-center BCI research
- collaborative model training without data sharing
Neural Impact
2 of 7 neural bands affected
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Click or hover over a glowing region to see the attack techniques targeting it and their severity.
Scoring
NISS:1.1/BI:N/CR:L/CD:L/CV:I/RV:F/NP:N CVSS:4.0/AV:N/AC:H/AT:P/PR:L/UI:N/VC:H/VI:N/VA:N/SC:H/SI:N/SA:N Governance
Neurorights at Risk
This technique threatens 1 of the 4 proposed neurorights (Ienca & Andorno, 2017).
FDORA §3305 Compliance
- ! CVSS partially captures risk; neural dimensions missing
- ! No FDA pathway for consumer sensor exploitation
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) | 2.7 | 2.7 | Low | - |
| Child (10yr) + ADHD | 2.7 | 3.2 | Low | +0.48 |
| Adult with ALS | 2.7 | 3.1 | Low | +0.44 |
Validation Status
Theoretical / Not yet validated. This technique has not been independently tested. See the validation dashboard for what has been tested.