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Mendeley readers
| Chapter title |
On the Performance of Convolutional Neural Networks for Side-Channel Analysis
|
|---|---|
| Chapter number | 10 |
| Book title |
Security, Privacy, and Applied Cryptography Engineering
|
| Published by |
Springer, Cham, December 2018
|
| DOI | 10.1007/978-3-030-05072-6_10 |
| Book ISBNs |
978-3-03-005071-9, 978-3-03-005072-6
|
| Authors |
Stjepan Picek, Ioannis Petros Samiotis, Jaehun Kim, Annelie Heuser, Shivam Bhasin, Axel Legay |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 21% |
| Student > Ph. D. Student | 12 | 21% |
| Researcher | 6 | 11% |
| Lecturer | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 17 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 30 | 53% |
| Engineering | 5 | 9% |
| Business, Management and Accounting | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Physics and Astronomy | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 18 | 32% |