{"data":{"id":"950acd46-889c-4246-a8c8-6ea263d4f546","title":"How I Aligned Your Model: Scaling Up Multilingual Safety Training with Templates","summary":"Researchers propose a template-based augmentation pipeline that generates large multilingual refusal and benign training corpora by extracting templates from harmful prompts, translating them, and filling slots with culturally localized entities. They release MSafeTemp, a validated corpus spanning 60 languages. They find English-only evaluation misjudges multilingual safety: attacks failing in English succeed once translated, and culturally localized variants expose further failures.","solution":"N/A -- no mitigation discussed in source.","labels":["safety","research"],"sourceUrl":"https://arxiv.org/abs/2610.40516v1","publishedAt":"2026-10-29T17:26:02.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["jailbreak"],"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":"2026-10-29T17:26:02.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["safety"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.93,"researchCategory":"preprint","atlasIds":["AML.T0054"]}}