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Mendeley readers
Chapter title |
ML Confidential: Machine Learning on Encrypted Data
|
---|---|
Chapter number | 1 |
Book title |
Information Security and Cryptology – ICISC 2012
|
Published by |
Springer, Berlin, Heidelberg, November 2012
|
DOI | 10.1007/978-3-642-37682-5_1 |
Book ISBNs |
978-3-64-237681-8, 978-3-64-237682-5
|
Authors |
Thore Graepel, Kristin Lauter, Michael Naehrig |
Mendeley readers
The data shown below were compiled from readership statistics for 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | <1% |
Pakistan | 1 | <1% |
Korea, Republic of | 1 | <1% |
Germany | 1 | <1% |
United Kingdom | 1 | <1% |
Italy | 1 | <1% |
Greece | 1 | <1% |
Taiwan | 1 | <1% |
Unknown | 258 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 75 | 28% |
Student > Master | 50 | 19% |
Researcher | 25 | 9% |
Student > Bachelor | 19 | 7% |
Other | 9 | 3% |
Other | 40 | 15% |
Unknown | 49 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 158 | 59% |
Engineering | 27 | 10% |
Mathematics | 12 | 4% |
Agricultural and Biological Sciences | 4 | 1% |
Physics and Astronomy | 3 | 1% |
Other | 10 | 4% |
Unknown | 53 | 20% |