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Found 4 papers, 2 papers with code
Calpric: Inclusive and Fine-grain Labeling of Privacy Policies with Crowdsourcing and Active Learning
To address these challenges, we present Calpric , which combines automatic text selection and segmentation, active learning and the use of crowdsourced annotators to generate a large, balanced training set for privacy policies at low cost.
HistBERT: A Pre-trained Language Model for Diachronic Lexical Semantic Analysis
Contextualized word embeddings have demonstrated state-of-the-art performance in various natural language processing tasks including those that concern historical semantic change.
A Survey on Poisoning Attacks Against Supervised Machine Learning
We present this survey paper to cover the most representative papers in poisoning attacks against supervised machine learning models.
Deep Active Learning with Crowdsourcing Data for Privacy Policy Classification
While automated tools based on machine learning exist for privacy policy analysis, to achieve high classification accuracy, classifiers need to be trained on a large labeled dataset.
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