Downloads provided by UsageCounts
Dataset used on the paper "Sensitivity of deep learning applied to spatial image steganalysis", it comes from ”Break Our Steganographic System”: The Ins and Outs of Organizing BOSS from Patrick Bas, Tomas Filler, Tomas Pevny authorship , on the compress files cover.rar corresponds to cover images in pgm files, with the respective stego image from WOW and S-UNIWARD steganographic algoritms on Wow.rar and Suniward.rar respectively, and Wownpy.rar and Suninpy.rar contained npy files of cover-stego images divided on Train, Test and Validation sets.
{"references": ["Patrick Bas, Tomas Filler, Tomas Pevny. \"Break Our Steganographic System\": The Ins and Outs of Organizing BOSS. INFORMATION HIDING, May 2011, Czech Republic. pp.59-70, ff10.1007/978-3- 642-24178-9_15ff. ffhal-00648057f"]}
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 24 | |
| downloads | 2 |

Views provided by UsageCounts
Downloads provided by UsageCounts