Differentially private subspace clustering

By Yining Wang, Yu-Xiang Wang, Aarti Singh. 2015

68 citations recorded by the source corpus.

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Citations in the corpus

NoPeek: Information leakage reduction to share activations in distributed deep learning (2020, background): “The works in [45, 46, 47] are examples of such schemes for transfer learning, subspace clustering.”
Differentially Private Clustering in High-Dimensional Euclidean Spaces (2017, methodology): “This is the main insight behind prior work for private k-means clustering (Nissim et al., 2007; Wang et al., 2015).”
Differentially Private Data Publishing and Analysis: A Survey (2017, background): “High sensitivity of clustering centers Use local sensitivity [30], [57] Decreases the level of the sensitivity Local sensitivity may not be easy to estimate”
Federating Recommendations Using Differentially Private Prototypes (2020, methodology): “Nissim et al. (2007) and Wang et al. (2015) use a similar framework but calibrate the noise by local sensitivity, which is diﬃcult to estimate without assumptions on the dataset (Zhu et al., 2017).”
K-variates++: More Pluses in the K-means++ (2016, background): “Finally, the application of k-means++ in some scenarios is still an open research topic, due to the related constraints – e.g., there is limited prior work in a differentially private setting (Nissim et al., 2007; Wang et al., 2015).”
On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis (2016, methodology): “Wang et al. (2015b)’s analysis ﬁnds that the privacy cost of posterior sampling does not directly improve with the number of data points N , unless the analyst deliberately modiﬁes the posterior by changing the temperature before sampling.”
Locally Private k-Means in One Round (2021, background): “There is a growing literature on this topic (Blum et al., 2005; Nissim et al., 2007; Feldman et al., 2009; Gupta et al., 2010; Mohan et al., 2012; Wang et al., 2015; Nissim et al., 2016; Nock et al., 2016; Su et al., 2016; Feldman et al., 2017; Balcan et al., 2017; Nissim and Stemmer, 2018; Huang…”