#membershipinferenceattack — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #membershipinferenceattack, aggregated by home.social.
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When seeing your local GP ...
How sensitive information can be gleaned from medical AIsMedical records could be revealed by AI training-data vulnerability (podcast)
https://www.nature.com/articles/d41586-026-02032-3Knolle, M.A., Menten, M.J., Jungmann, F. et al. Disparate privacy risks from medical AI. Nature (2026). https://doi.org/10.1038/s41586-026-10688-0
https://www.nature.com/articles/s41586-026-10688-0
#privacy #PrivacyRisk #MedicalAI #DataSparcity #AI #LLM #MembershipInferenceAttack #health #MedicalRecords #consent #prosumer #PatientPrivacy #NSW -
When seeing your local GP ...
How sensitive information can be gleaned from medical AIsMedical records could be revealed by AI training-data vulnerability (podcast)
https://www.nature.com/articles/d41586-026-02032-3Knolle, M.A., Menten, M.J., Jungmann, F. et al. Disparate privacy risks from medical AI. Nature (2026). https://doi.org/10.1038/s41586-026-10688-0
https://www.nature.com/articles/s41586-026-10688-0
#privacy #PrivacyRisk #MedicalAI #DataSparcity #AI #LLM #MembershipInferenceAttack #health #MedicalRecords #consent #prosumer #PatientPrivacy #NSW -
When seeing your local GP ...
How sensitive information can be gleaned from medical AIsMedical records could be revealed by AI training-data vulnerability (podcast)
https://www.nature.com/articles/d41586-026-02032-3Knolle, M.A., Menten, M.J., Jungmann, F. et al. Disparate privacy risks from medical AI. Nature (2026). https://doi.org/10.1038/s41586-026-10688-0
https://www.nature.com/articles/s41586-026-10688-0
#privacy #PrivacyRisk #MedicalAI #DataSparcity #AI #LLM #MembershipInferenceAttack #health #MedicalRecords #consent #prosumer #PatientPrivacy #NSW -
When seeing your local GP ...
How sensitive information can be gleaned from medical AIsMedical records could be revealed by AI training-data vulnerability (podcast)
https://www.nature.com/articles/d41586-026-02032-3Knolle, M.A., Menten, M.J., Jungmann, F. et al. Disparate privacy risks from medical AI. Nature (2026). https://doi.org/10.1038/s41586-026-10688-0
https://www.nature.com/articles/s41586-026-10688-0
#privacy #PrivacyRisk #MedicalAI #DataSparcity #AI #LLM #MembershipInferenceAttack #health #MedicalRecords #consent #prosumer #PatientPrivacy #NSW -
When seeing your local GP ...
How sensitive information can be gleaned from medical AIsMedical records could be revealed by AI training-data vulnerability (podcast)
https://www.nature.com/articles/d41586-026-02032-3Knolle, M.A., Menten, M.J., Jungmann, F. et al. Disparate privacy risks from medical AI. Nature (2026). https://doi.org/10.1038/s41586-026-10688-0
https://www.nature.com/articles/s41586-026-10688-0
#privacy #PrivacyRisk #MedicalAI #DataSparcity #AI #LLM #MembershipInferenceAttack #health #MedicalRecords #consent #prosumer #PatientPrivacy #NSW