{"data":{"id":"303fb58b-c465-4490-bb82-36f26274028d","title":"Adversarial examples beyond spurious features: An experimental study","summary":"This study examines how spurious correlations, non-causal links between superficial attributes and labels, create adversarial vulnerabilities in neural networks. The authors propose two spurious-free gradient-based evasion attacks built on assumptions of biased gradients toward simple features and overconfident output probabilities, and evaluate them on benchmark vision datasets against standard and spurious-robust models. Results show the attacks diminish the influence of spurious attributes, with each performing best in specific scenarios.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://doi.org/10.1016/j.ins.2026.124432","publishedAt":"2026-11-01T00:00:00.000Z","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":"2026-11-01T00:00:00.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","safety"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}