Differential Privacy: An Estimation Theory-Based Method for Choosing Epsilon

Sarwate, A.D., Chaudhuri, K., Monteleoni, C.: Differentially private support vector machines. CoRR abs/0912.0071 (2009), http://arxiv.org/abs/0912.0071

Original

2009

Earlier work this paper cites.

Dwork, C.: A firm foundation for private data analysis. Communications of the ACM 54(1), 86–95 (2011)

2011

Earlier work this paper cites.

Hsu, J., Gaboardi, M., Haeberlen, A., Khanna, S., Narayan, A., Pierce, B.C., Roth, A.: Differential privacy: An economic method for choosing epsilon. In: Computer Security Foundations Symposium (CSF), 2014 IEEE 27th. pp. 398–410. IEEE (2014)

2014

Cited alongside, same era.

Naldi, M., D’Acquisto, G.: Differential privacy for counting queries: can Bayes estimation help uncover the true value? arXiv preprint arXiv:1407.0116 (2014)

Original

2014

Cited alongside, same era.

Naldi, M., D’Acquisto, G.: Option contracts for a privacy-aware market. In: KI 2015, 38th German Conference on Artificial Intelligence, Workshop on Privacy and Inference. Dresden (Sept 21, 2015)

2015

Closest in time.

Naldi, M., D’Acquisto, G.: Option pricing in a privacy-aware market. In: IEEE Conference on Communications and Network Security (CNS). Florence (Sept 28-30, 2015)

2015

Closest in time.