{"data":{"id":"b4e17d7f-0f01-452f-9c5d-ddaf6b97c863","title":"AI-Shielder: Exploiting Backdoors to Defend Against Adversarial Attacks","summary":"AI-Shielder is a defense that deliberately embeds backdoors in a DNN so that adversarial perturbations fail while the main task keeps working. Evaluated against sixteen adversarial example generation approaches, it reduces the attack success rate from 91.8% to 3.8%, outperforming state-of-the-art works by 37.2%, with a 0.6% decline in clean data accuracy and 1.43% overhead to model prediction time.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11184428","publishedAt":"2025-09-29T13:25:32.000Z","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":null,"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}}