Sensitivity Classification
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Benchmarks
GovSensitivity
Papers
To Redact, or not to Redact? A Local LLM Approach to Deliberative Process Privilege Classification
Government transparency laws, like the Freedom of Information (FOIA) acts in the United States and United Kingdom, and the Woo (Open Government Act) in the Netherlands, grant citizens the right to directly request docume…
Sensitivity ClassificationSentence ClassificationDeepDTF: Dual-Branch Transformer Fusion for Multi-Omics Anticancer Drug Response Prediction
Cancer drug response varies widely across tumors due to multi-layer molecular heterogeneity, motivating computational decision support for precision oncology. Despite recent progress in deep CDR models, robust alignment …
Sensitivity ClassificationDrug Response PredictionSALP-CG: Standard-Aligned LLM Pipeline for Classifying and Grading Large Volumes of Online Conversational Health Data
Online medical consultations generate large volumes of conversational health data that often embed protected health information, requiring robust methods to classify data categories and assign risk levels in line with po…
Sensitivity ClassificationSARA: A Collection of Sensitivity-Aware Relevance Assessments
Large archival collections, such as email or government documents, must be manually reviewed to identify any sensitive information before the collection can be released publicly. Sensitivity classification has received a…
SensitivitySensitivity ClassificationRelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification
The relationships that exist between entities can be a reliable indicator for classifying sensitive information, such as commercially sensitive information. For example, the relation person-IsDirectorOf-company can indic…
Entity EmbeddingsKnowledge Graph EmbeddingsRelationSensitivity+2