Automated Screening of Privacy Risks in Medical AI
medical AI models
A study highlights how membership inference attacks can reveal whether specific patient records were used to train medical AI models. The findings demonstrate individual privacy exposure despite seemingly safe cohort averages.
- first report
- 23 Oct 2026
- last update
- 23 Oct 2026
Timeline · 1
Sources · 1
Research and catalogues
- 2026-10-23Automated screening of privacy risks in medical AIarXiv · arxiv.org/abs/2610.30229
Titles and links belong to their publishers. The summary above is written by gcdRadar in its own words; data is CC BY-SA 4.0.
Classification
- lane
- Research
- AI role
- Attack on AI
- categories
- Data leakModel theft / extraction
- severity
- 1 · Research / proof of concept
- targets
- Open-weight model, Enterprise deployment
- dates
- happened 23 Oct 2026 · first reported 23 Oct 2026
- origin
- News & research feeds
- record
- confidence 0.90 · created 2026-10-23 05:05Z · updated 2026-11-07 02:05Z
Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned
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the brief as text
# Automated Screening of Privacy Risks in Medical AI https://gcdradar.vercel.app/incidents/automated-screening-of-privacy-risks-in-medical-ai · AIR-2026-1478 · closed 2026-11-06 - Lane: Research - Severity: 1 (Research / proof of concept) - Fix status: Fix status unknown - First reported: 2026-10-23 - AI role: Attack on AI - Products: medical AI models ## Summary A study highlights how membership inference attacks can reveal whether specific patient records were used to train medical AI models. The findings demonstrate individual privacy exposure despite seemingly safe cohort averages. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2026-10-23: Automated screening of privacy risks in medical AI (https://arxiv.org/abs/2610.30229) ## Sources - 2026-10-23 arXiv: Automated screening of privacy risks in medical AI https://arxiv.org/abs/2610.30229 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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