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X Demographics
Mendeley readers
Chapter title |
Cryptanalytic Extraction of Neural Network Models
|
---|---|
Chapter number | 7 |
Book title |
Advances in Cryptology – CRYPTO 2020
|
Published by |
Springer, Cham, August 2020
|
DOI | 10.1007/978-3-030-56877-1_7 |
Book ISBNs |
978-3-03-056876-4, 978-3-03-056877-1
|
Authors |
Nicholas Carlini, Matthew Jagielski, Ilya Mironov, Carlini, Nicholas, Jagielski, Matthew, Mironov, Ilya |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 83 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 24% |
Student > Master | 9 | 11% |
Researcher | 8 | 10% |
Student > Bachelor | 6 | 7% |
Student > Doctoral Student | 3 | 4% |
Other | 10 | 12% |
Unknown | 27 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 34 | 41% |
Engineering | 5 | 6% |
Unspecified | 3 | 4% |
Physics and Astronomy | 2 | 2% |
Agricultural and Biological Sciences | 1 | 1% |
Other | 4 | 5% |
Unknown | 34 | 41% |