Accuracy-Privacy Tradeoffs for Two-Party Differentially Private Protocols

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Differentially private multi-party computation (2014, methodology): “Among other things, this fully recovers the main results of [21] and does it with a more efficient protocol as discussed in Section 3.”
PrivEx: Private Collection of Traffic Statistics for Anonymous Communication Networks (2014, background): “In the two-party setting of distributed differential privacy, Goyal et al. [13] explicitly evaluate the accuracy-privacy tradeoffs for computing Boolean functions.”
Secure Multi-party Differential Privacy (2015, background): “It is an interesting task to understand the geometric structure of the problem, and to ask what class of utility functions lead to optimality of the randomized response.”