{"data":{"id":"4d2c87e9-398c-4d61-a9fd-7d84c5baa5f1","title":"MedBackdoorGuard: Detecting and Mitigating Backdoor Attacks in Deep Learning Models for MRI-Based Alzheimer’s Disease and Mild Cognitive Impairment Diagnosis","summary":"MedBackdoorGuard is a defense framework for MRI-based Alzheimer's disease and mild cognitive impairment classifiers that detects and mitigates backdoor attacks without prior knowledge of the trigger. Across ADNI, OASIS-1 and a public four-class dementia MRI benchmark, it reduced the mean attack success rate from 96.4% to 3.0% while keeping clean accuracy within 0.6 percentage points of the undefended model. It also raised MCI recall on triggered scans from 3.9% to 88.3%.","solution":"Defense framework MedBackdoorGuard: spectral latent screening of training data, latent trigger isolation, trigger-sensitive neuron pruning with fine-tuning under an anatomical attention consistency constraint, and a runtime inference guard using superimposition entropy and anatomically informed reconstruction.","labels":["security","research"],"sourceUrl":"https://doi.org/10.3390/brainsci16111191","publishedAt":"2026-10-30T00:00:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["other"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-10-30T00:00:00.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","safety"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":"peer_reviewed","atlasIds":null}}