You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
An Efficient Blurring-Reconstruction Model to Defend Against Adversarial Attacks
|
---|---|
Chapter number | 39 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2020
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-61609-0_39 |
Book ISBNs |
978-3-03-061608-3, 978-3-03-061609-0
|
Authors |
Wen Zhou, Liming Wang, Yaohao Zheng, Zhou, Wen, Wang, Liming, Zheng, Yaohao |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 33% |
Unknown | 2 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1 | 33% |
Unknown | 2 | 67% |