| Evolutionary Algorithm-based images, humanly indistinguishable and adversarial against Convolutional Neural Networks: efficiency and filter robustness |
| English |
| Chitic, Ioana Raluca [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >] |
| Topal, Ali Osman [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >] |
| Leprevost, Franck [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >] |
| 1-Dec-2021 |
| IEEE Access |
| Institute of Electrical and Electronics Engineers |
| Yes (verified by ORBilu) |
| International |
| 2169-3536 |
| Piscataway |
| NJ |
| [en] adversarial attacks ; image classification ; evolutionary algorithms |
| http://hdl.handle.net/10993/49149 |