@inproceedings { Voloshynovskiy:2010:WIFS,
    title = { Privacy amplification of content identification based on fingerprint bit reliability },
    author = { S. Voloshynovskiy and O. Koval and T. Holotyak and F. Beekhof and F. Farhadzadeh },
    booktitle = { Proceedings of IEEE International Workshop on Information Forensics and Security },
    address = { Seattle, The USA },
    year = { 2010 },
    month = { December 12--15 }
}

@inproceedings { Farhadzadeh:2010:IIH,
    author = { Farzad Farhadzadeh and Sviatoslav Voloshynovskiy and Oleksiy Koval },
    title = { Privacy Preserving Identification: Order Statistics List Decoding Perspective },
    booktitle = { International Conference on Intelligent Information Hiding and Multimedia Signal Processing },
    year = { 2010 },
    address = { Darmstadt, Germany },
    month = { October, 15-17 },
    abstract = { In this paper, the performance of privacy preserving Biometric/Physical Unclonable Function identification based on the order statistic list decoding is analyzed by evaluating the corresponding probabilities of correct identification and false acceptance. We demonstrate the impact of candidate list size on the identification system performance and compare it with the unique identification setup. Finally, the influence of privacy amplification on the system performance is analyzed. },
    keywords = { biometric identification, privacy amplification, list decoding; order statistics, correct identification, false acceptance, receiver operating characteristic. }
}

@inproceedings { Farhadzadeh:2010:MMSP,
    author = { Farzad Farhadzadeh and Sviatoslav Voloshynovskiy and Oleksiy Koval },
    title = { Content Identification Based on digital fingerprint: what can be done if ML decoding fails? },
    booktitle = { IEEE International Workshop on Multimedia Signal Processing },
    year = { 2010 },
    address = { Saint-Malo, France },
    month = { October, 4-6 },
    abstract = { In this paper, the performance of the content identification based on digital fingerprinting and order statistic list decoding is analyzed by evaluating the probabilities of correct identification, false acceptance and the probability mass function of queried binary fingerprint position on the list of candidates. The particular attention is dedicated to the cases when traditional maximum likelihood decoder fails to produce the reliable content identification. The maximum likelihood decoding is shown to be a particular case of order statistic list decoding for the list size equals 1. We demonstrate the efficiency of the proposed content identification system performance by investigating the probability mass function behavior and imposing the constraint on the cardinality of list size. }
}

@inproceedings { Voloshynovskiy:2010:ITW,
    author = { S. Voloshynovskiy and O. Koval and F. Beekhof and F. Farhadzadeh and T. Holotyak },
    title = { Information-Theoretical Analysis of Private Content Identification },
    booktitle = { IEEE Information Theory Workshop, ITW2010 },
    year = { 2010 },
    month = { Aug.30-Sep.3 },
    address = { Dublin, Ireland }
}

@inproceedings { Farhadzadeh:2010:ISIT,
    author = { Farzad Farhadzadeh and Sviatoslav Voloshynovskiy and Oleksiy Koval },
    title = { Performance Analysis of Identification System Based on Order Statistics List Decoder },
    booktitle = { IEEE International Symposium on Information Theory },
    year = { 2010 },
    address = { Austin, TX },
    month = { June, 13-18 },
    abstract = { In this work we advocate an approach for the statistical performance analysis of an identification system. The statistical performance analysis is accomplished for the corresponding probability of miss and false acceptance based on the order statistic list decoding framework }
}

@inproceedings { Farhadzadeh:2010:WAITCS,
    author = { Farzad Farhadzadeh and Sviatoslav Voloshynovskiy and Oleksiy Koval },
    title = { Content-Identification: towards Capacity Based on Bounded Distance Decoder },
    booktitle = { Applications of Information Theory, Coding and Security },
    year = { 2010 },
    address = { Yerevan, Armenia },
    month = { April, 14-16 },
    abstract = { In recent years, content identification based on digital fingerprinting attracts a lot of attention in different emerging applications. In this paper, we perform the information--theoretic analysis of finite length digital fingerprinting systems. We show that the identification capacity over the Binary Symmetric Channel (\bsc) is achievable by using Bounded Distance Decoder. }
}

@inproceedings { Beekhof:2010:SPIE,
    vgclass = { refpap },
    vgproject = { watermarking },
    title = { On Accuracy, Privacy and Complexity in the Identification Problem },
    author = { F. Beekhof and S. Voloshynovskiy and O. Koval and T. Holotyak },
    booktitle = { Proceedings of SPIE / Multimedia Content Access: Algorithms and Systems IV },
    year = { 2010 },
    month = { January 21--24 },
    address = { San Jose, USA }
}

@inproceedings { Koval:2010:SPIE,
    vgclass = { refpap },
    vgproject = { watermarking },
    title = { Multimodal object authentication with random projections: a worst-case approach },
    author = { O. Koval and S. Voloshynovskiy },
    booktitle = { Proceedings of SPIE / Media Forensics and Security XII },
    year = { 2010 },
    month = { January },
    date = { 2010-1-21-24 },
    address = { San Jose, USA }
}

@inproceedings { Holotyak:2010:SPIE,
    vgclass = { refpap },
    vgproject = { watermarking },
    title = { Fast identification of highly distorted images },
    author = { T. Holotyak and S. Voloshynovskiy and F. Beekhof and O. Koval },
    booktitle = { Proceedings of SPIE / Media Forensics and Security XII },
    year = { 2010 },
    month = { January 21--24 },
    address = { San Jose, USA }
}