{"data":{"id":"5bd319ad-f492-4090-b757-4c7a928d9bc0","title":"NEO: Navigating Entropy in Optimized Closed-Box Video Adversarial Attacks","summary":"NEO is a closed-box adversarial attack on deep learning video recognition systems that uses information-entropy guidance to cut query costs. The authors model query-based attacks as an open-box approximation and find that queries near decision boundaries carry the most information. NEO combines diffusion-based perturbation initialization with mutual-information-driven optimization and reports significantly higher efficiency and stealthiness than existing methods on four benchmark datasets.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11616686","publishedAt":"2026-07-22T13:17:04.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion"],"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":"2026-07-22T13:17:04.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":"peer_reviewed","atlasIds":null}}