{"data":{"id":"636b9b05-db53-48ff-8dd9-ba886824df47","title":"Can Attack Difficulty Be Characterized Before Optimization? A Study of Pre-optimization Difficulty in Person-Vanishing Attacks","summary":"This research paper asks whether the difficulty of person-vanishing attacks on object detectors can be estimated before adversarial optimization runs. The authors introduce Quad-CLEVER, a geometry-based estimator built from a quadratic approximation of the local person-vanishing margin, and report that it correlates with observed optimization cost across several attack algorithms. A difficulty-aware framework that allocates optimization budgets using these estimates raises image-level attack success by up to 5.78% on BDD100K and saves up to 11.42 iterations, while saving 2.25 iterations on EventPed.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://arxiv.org/abs/2609.34501v1","publishedAt":"2026-09-28T07:47:36.000Z","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":"2026-09-28T07:47:36.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","safety"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"preprint","atlasIds":null}}