{"data":{"id":"9f3d007d-db88-45d1-8748-07760b16ecfa","title":"Are Large Vision-Language Models Robust to Adversarial Visual Transformations?","summary":"Researchers assess how robust large vision-language models (LVLMs) are to adversarial visual transformations, a simpler attack style than optimizing perturbations or manipulating prompts. They test LVLM resilience across all possible transformation operations and find that combining the most harmful transformations yields more effective attacks. They also introduce adversarial learning of visual transformations, which applies malicious transformations to raw images via gradient approximation to improve attack effectiveness and imperceptibility.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11421907","publishedAt":"2026-03-05T13:17:20.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["large vision-language models (LVLMs)"],"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":"2026-03-05T13:17:20.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","safety"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":"peer_reviewed","atlasIds":null}}