113 citations · 397 across the 33 of their papers we have counts for
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cs.DB2013
On Sharing Private Data with Multiple Non-Colluding Adversaries
Theodoros Rekatsinas, Amol Deshpande, Ashwin Machanavajjhala
We present SPARSI, a theoretical framework for partitioning sensitive data across multiple non-colluding adversaries. Most work in privacy-aware data sharing has considered disclos…
cs.LG2013★ 15 cited
Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss
Ben London, Theodoros Rekatsinas, Bert Huang +1
We propose a modular framework for multi-relational learning via tensor decomposition. In our learning setting, the training data contains multiple types of relationships among a s…