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Found 4 papers, 0 papers with code
A Decade of Privacy-Relevant Android App Reviews: Large Scale Trends
We conduct a comparison across countries by examining the distribution of privacy topics a country's users write about, and find that geographic proximity is not a reliable indicator that nearby countries have similar privacy perspectives.
Privacy Tradeoffs in Predictive Analytics
Recent research has demonstrated that several private user attributes (such as political affiliation, sexual orientation, and gender) can be inferred from such data.
Recommending with an Agenda: Active Learning of Private Attributes using Matrix Factorization
Recommender systems leverage user demographic information, such as age, gender, etc., to personalize recommendations and better place their targeted ads.
Spectral Clustering with Perturbed Data
We show that the error under perturbation of spectral clustering is closely related to the perturbation of the eigenvectors of the Laplacian matrix.
