Neural Information Processing Systems / Pearson / Cambridge University Press / MIT Press / /
Country
Germany / United Kingdom / /
Currency
USD / / /
Facility
Computer Engineering SUNY Binghamton University / Computer Science SUNY Binghamton University / Square Root Law / Max Planck Institute / /
IndustryTerm
square root law holds / nsF5 algorithm / square root law / digital media objects / batch square root law / dot product / steganographic algorithm / prior image processing operations / steganographic file systems / square root law still holds / /
MarketIndex
set 9200 / set 1600 / set 3000 / /
Organization
Cambridge University / MIT / U.S. Government / Max Planck Institute for Biological Cybernetics / Air Force office of Scientific Research / SUNY / Oxford University / U.S. Securities and Exchange Commission / /
Person
Jan Kodovský Jessica Fridrich / Andrew D. Ker Tomáš Pevný / /
Position
error model for quantitative steganalysis / editor / Multimedia Forensics and Security / first author / General / warden / /
Product
Triples / /
ProvinceOrState
Prince Edward Island / Massachusetts / /
PublishedMedium
Journal of Machine Learning Research / /
Technology
nsF5 algorithm / JPEG / steganographic algorithm / data hiding / Machine Learning / image processing / digital camera / embedded using the nsF5 algorithm / /
The Square Root Law of Steganographic Capacity Andrew D. Ker Tomáš Pevný Oxford University Computing Laboratory