T. Filler

Publications
Influence

Using High-Dimensional Image Models to Perform Highly Undetectable Steganography

Tomás Pevný, T. Filler, P. Bas
Computer Science
Information Hiding
28 June 2010

This paper presents a complete methodology for designing practical and highly-undetectable stegosystems for real digital media. Expand

Minimizing Additive Distortion in Steganography Using Syndrome-Trellis Codes

T. Filler, Jan Judas, J. Fridrich
Computer Science
IEEE Transactions on Information Forensics and…
1 September 2011

This paper proposes a complete practical methodology for minimizing additive distortion in steganography with general (nonbinary) embedding operation. Expand

"Break Our Steganographic System": The Ins and Outs of Organizing BOSS

P. Bas, T. Filler, Tomás Pevný
Computer Science
Information Hiding
18 May 2011

This paper summarizes the first international challenge on steganalysis called BOSS (an acronym for Break Our Steganographic System) and presents detailed analysis of results submitted to the challenge. Expand

Large scale test of sensor fingerprint camera identification

M. Goljan, J. Fridrich, T. Filler
Computer Science, Engineering
Electronic Imaging
4 February 2009

This paper presents a large scale test of camera identification from sensor fingerprints and reveal several interesting new facts about camera fingerprints. Expand

Minimizing embedding impact in steganography using trellis-coded quantization

T. Filler, Jan Judas, J. Fridrich
Computer Science, Engineering
Electronic Imaging
27 January 2010

We propose a practical approach to minimizing embedding impact in steganography based on syndrome coding and trellis-coded quantization and contrast its performance with bounds derived from appropriate rate-distortion bounds. Expand

Gibbs Construction in Steganography

T. Filler, J. Fridrich
Computer Science
IEEE Transactions on Information Forensics and…
1 December 2010

We make a connection between steganography design by minimizing embedding distortion and statistical physics. Expand

Practical methods for minimizing embedding impact in steganography

J. Fridrich, T. Filler
Mathematics, Computer Science
Electronic Imaging
26 February 2007

In this paper, we propose a general framework and practical coding methods for constructing steganographic schemes that minimize the statistical impact of embedding. Expand

Binary quantization using Belief Propagation with decimation over factor graphs of LDGM codes

T. Filler, J. Fridrich
Mathematics, Computer Science
ArXiv
30 September 2007

We propose a new algorithm for binary quantization based on the Belief Propagation algorithm with decimation over factor graphs of Low Density Generator Matrix (LDGM) codes. Expand

Design of adaptive steganographic schemes for digital images

T. Filler, J. Fridrich
Engineering, Computer Science
Electronic Imaging
10 February 2011

In this paper, we present a practical framework for optimizing the parameters of additive distortion functions to minimize statistical detectability. Expand

Using sensor pattern noise for camera model identification

T. Filler, J. Fridrich, M. Goljan
Computer Science
15th IEEE International Conference on Image…
12 December 2008

Sensor photo-response non-uniformity (PRMJ) was introduced by Lukas et al. Expand

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