Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks
| dc.contributor.author | Behnia, Farnaz | |
| dc.contributor.author | Mirzaeian, Ali | |
| dc.contributor.author | Sabokrou, Mohammad | |
| dc.contributor.author | Manoj, Saj | |
| dc.contributor.author | Mohsenin, Tinoosh | |
| dc.contributor.author | Khasawneh, Khaled N. | |
| dc.contributor.author | Zhao, Liang | |
| dc.contributor.author | Homayoun, Houman | |
| dc.contributor.author | Sasan, Avesta | |
| dc.date.accessioned | 2020-03-05T15:35:16Z | |
| dc.date.available | 2020-03-05T15:35:16Z | |
| dc.date.issued | 2020-01-16 | |
| dc.description.abstract | In this paper, we propose Code-Bridged Classifier (CBC), a framework for making a Convolutional Neural Network (CNNs) robust against adversarial attacks without increasing or even by decreasing the overall models' computational complexity. More specifically, we propose a stacked encoder-convolutional model, in which the input image is first encoded by the encoder module of a denoising auto-encoder, and then the resulting latent representation (without being decoded) is fed to a reduced complexity CNN for image classification. We illustrate that this network not only is more robust to adversarial examples but also has a significantly lower computational complexity when compared to the prior art defenses. | en_US |
| dc.description.uri | https://arxiv.org/abs/2001.06099 | en_US |
| dc.format.extent | 6 pages | en_US |
| dc.genre | journal articles preprints | en_US |
| dc.identifier | doi:10.13016/m2s30g-xsvq | |
| dc.identifier.citation | Behnia, Farnaz; Mirzaeian, Ali; Sabokrou, Mohammad; Manoj, Saj; Mohsenin, Tinoosh; Khasawneh, Khaled N.; Zhao, Liang; Homayoun, Houman; Sasan, Avesta; Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks; Machine Learning (2020); https://arxiv.org/abs/2001.06099 | en_US |
| dc.identifier.uri | http://hdl.handle.net/11603/17487 | |
| dc.language.iso | en_US | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.title | Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks | en_US |
| dc.type | Text | en_US |