{"data":{"id":"0bd2bc32-239a-4a8a-ad2f-07c3ab8d1c70","title":"UAP4MA: Leveraging Multi-Agent Bandits to Generate Universal Adversarial Perturbations for Malware Attribution","summary":"UAP4MA is a decision-based, problem-space, black-box method for generating universal adversarial perturbations against APT malware attribution models. It uses a multi-agent Multi-Armed Bandit framework that applies functionality-preserving transformations from 13 types. On the AMG43 and APTMalware datasets, it achieves over four times the fooling rate, double the attack success rate, and an 80% reduction in training time compared with state-of-the-art methods.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11503406","publishedAt":"2026-05-04T13:19:15.000Z","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":"2026-05-04T13:19:15.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}