{"data":{"id":"0f784a5e-ce89-4a5e-90bd-500776e60ad6","title":"Dual Attention Guided Defense Against Malicious Edits","summary":"Researchers propose DANP (Dual Attention-Guided Noise Perturbation), an immunization method that adds imperceptible perturbations to text-to-image diffusion models to resist malicious edits. DANP works across multiple timesteps, reducing cross-attention in text-relevant regions while increasing it in irrelevant ones, and maximizes the discrepancy between injected noise and predicted noise. The authors report state-of-the-art performance against malicious edits.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11557382","publishedAt":"2026-06-10T13:17:33.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"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":"2026-06-10T13:17:33.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}