Private Learning and Sanitization: Pure vs. Approximate Differential Privacy
Amos Beimel, Kobbi Nissim, Uri Stemmer
BibTeX
@inproceedings{DBLP:conf/approx/BeimelNS13,
author = {Beimel, Amos and Nissim, Kobbi and Stemmer, Uri},
editor = {Raghavendra, Prasad and Raskhodnikova, Sofya and Jansen, Klaus and Rolim, Jos{\'{e}} D. P.},
title = {Private Learning and Sanitization: Pure vs. Approximate Differential
Privacy},
booktitle = {Approximation, Randomization, and Combinatorial Optimization. Algorithms
and Techniques - 16th International Workshop, {APPROX} 2013, and 17th
International Workshop, {RANDOM} 2013, Berkeley, CA, USA, August 21-23,
2013. Proceedings},
series = {Lecture Notes in Computer Science},
volume = {8096},
pages = {363--378},
publisher = {Springer},
year = {2013},
url = {https://doi.org/10.1007/978-3-642-40328-6\_26},
doi = {10.1007/978-3-642-40328-6\_26},
timestamp = {Tue, 21 Sep 2021 09:36:24 +0200},
biburl = {https://dblp.org/rec/conf/approx/BeimelNS13.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}