@inbook {212681,
	title = {Private Learning and Sanitization: Pure vs. Approximate Differential Privacy},
	booktitle = {Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques},
	series = {Lecture Notes in Computer Science},
	volume = {8096},
	year = {2013},
	pages = {363-378},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	keywords = {differential privacy, Private Learning, Sanitization},
	isbn = {978-3-642-40327-9},
	doi = {10.1007/978-3-642-40328-6_26},
	url = {http://dx.doi.org/10.1007/978-3-642-40328-6_26},
	author = {Amos Beimel and Kobbi Nissim and Uri Stemmer and Raghavendra, Prasad and Raskhodnikova, Sofya and Jansen, Klaus and Rolim, Jos{\'e}D.P.}
}
