{"data":{"id":"4ed57429-6406-4fa0-8657-e9eedef81fab","title":"CaDe: Adaptive Sparse Causal Decoupling for Adversarially Robust Object Detection via Hierarchical Stability Constraints","summary":"This paper proposes CaDe, a defense for object detectors against physical adversarial patch attacks. It argues that patches mainly disrupt operational causal consistency across the layers of a deep neural network rather than corrupting feature values directly. CaDe combines hierarchical stability constraints with adaptive sparse causal decoupling, and reports mAP gains of 6.19% against Hiding Attack and 5.53% against Appearing Attack over the best baseline, with a 0.14% mAP drop on benign samples.","solution":"CaDe mitigates the hierarchical propagation of residual perturbations through hierarchical stability constraints and adaptive sparse causal decoupling strategies.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11614563","publishedAt":"2026-07-20T13:17:07.000Z","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":"2026-07-20T13:17:07.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","safety"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":"peer_reviewed","atlasIds":null}}