{"data":{"id":"2eb9dc56-9aee-4ce9-aaad-ae8f0fa4cb48","title":"Co-AttenDWG: Coattentive Dimension-Wise Gating and Expert Fusion for Multimodal Offensive Content Detection","summary":"This paper presents Co-AttenDWG, a new method for detecting offensive content by combining text and images together. The approach uses coattention (a technique where two types of data pay attention to each other simultaneously), dimension-wise gating (a mechanism that selectively emphasizes important features at a detailed level), and expert fusion (combining predictions from multiple specialized models) to better understand how text and visual information relate to each other.","solution":"N/A -- no mitigation discussed in source.","labels":["research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11207235","publishedAt":"2025-10-20T13:18:49.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2025-10-20T13:18:49.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}