A mishmash of methods for mitigating the model mismatch mess
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00225391" target="_blank" >RIV/68407700:21230/14:00225391 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1117/12.2038908" target="_blank" >http://dx.doi.org/10.1117/12.2038908</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2038908" target="_blank" >10.1117/12.2038908</a>
Alternative languages
Result language
angličtina
Original language name
A mishmash of methods for mitigating the model mismatch mess
Original language description
The model mismatch problem occurs in steganalysis when a binary classifier is trained on objects from one cover source and tested on another: an example of domain adaptation. It is highly realistic because a steganalyst would rarely have access to much or any training data from their opponent, and its consequences can be devastating to classifier accuracy. This paper presents an in-depth study of one particular instance of model mismatch, in a set of images from Flickr using one fixed steganography andsteganalysis method, attempting to separate different effects of mismatch in feature space and find methods of mitigation where possible. We also propose new benchmarks for accuracy, which are more appropriate than mean error rates when there are multiple actors and multiple images, and consider the case of 3-valued detectors which also output `don't know'. This pilot study demonstrates that some simple feature-centering and ensemble methods can reduce the mismatch penalty considerably,
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GPP103%2F12%2FP514" target="_blank" >GPP103/12/P514: Real-time detection of anomalous events in a non-stationary environment</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of SPIE Media Watermarking, Security, and Forensics 2014
ISBN
978-0-8194-9945-5
ISSN
0277-786X
e-ISSN
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Number of pages
16
Pages from-to
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Publisher name
SPIE
Place of publication
Washington
Event location
San Francisco
Event date
Feb 2, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000335494300017