{"data":{"id":"6f09d79f-13f9-400c-a7c8-fa1c0caf5607","title":"Neural Machine Unranking","summary":"This paper introduces neural machine unranking (NuMuR), a task of removing selected data from neural information retrieval systems, motivated by data privacy compliance. The authors propose CoCoL, a dual-objective framework combining a contrastive loss that lowers relevance scores on forget sets with a consistent loss that preserves accuracy on retain sets. Experiments on two datasets and four neural IR models show substantial forgetting with minimal retention and generalization loss.","solution":"N/A -- no mitigation discussed in source.","labels":["research","privacy"],"sourceUrl":"http://ieeexplore.ieee.org/document/11313626","publishedAt":"2025-12-23T13:16:51.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"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":"2025-12-23T13:16:51.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.8,"researchCategory":"peer_reviewed","atlasIds":null}}