{"data":{"id":"af725407-6d28-4815-9103-913f56d856d1","title":"Visual-Invariance-Augmented Feature Optimal Alignment for Transferable Adversarial Attacks against Closed-Source MLLMs","summary":"Researchers study how to make adversarial images transfer from open-source surrogate multimodal LLMs to closed-source MLLMs in black-box settings. They propose IAU-FOA, which aligns adversarial and target images at both global and patch-cluster levels using confidence-adaptive unbalanced optimal transport, plus visual-invariance augmentation that simulates exposure, contrast, illumination and color-temperature changes. The authors report that it consistently outperforms state-of-the-art transferable attack methods across open-source and closed-source MLLMs.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://arxiv.org/abs/2610.06977v1","publishedAt":"2026-10-04T00:16:22.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["closed-source MLLMs","open-source MLLMs"],"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":"2026-10-04T00:16:22.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.9,"researchCategory":"preprint","atlasIds":null}}