{"data":{"id":"3db581d7-f3f0-4e08-aed3-13e2dcbc52a6","title":"GeoPrivd: Geospatial Privacy-Preserving Urban Traffic Video Analytics Queries With Trajectory-Level Sensitivity Control","summary":"GeoPrivd is a framework for analyzing traffic video data while protecting people's privacy through differential privacy (a mathematical technique that adds noise to data to hide individual information). Instead of storing detailed tracking information about people's movements, GeoPrivd uses a query language called GeoPrivdQL that lets analysts ask questions about traffic patterns while automatically ensuring privacy is preserved without exposing sensitive trajectory data.","solution":"N/A -- no mitigation discussed in source.","labels":["research","privacy"],"sourceUrl":"http://ieeexplore.ieee.org/document/11653472","publishedAt":"2026-08-12T13:16:39.000Z","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":"2026-08-12T13:16:39.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"inference","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}