Farzad Farhadzadeh

Bibliography

Farzad Farhadzadeh was born in Yazd, Iran on February 2, 1983. I received the M.Sc. degree in Signal Processing and Communication Systems from Electrical Engineering department at Amirkabir University of Technology, Tehran, Iran. My B.Sc. degree in electrical engineering is from Isfahan University of Technology, Isfahan, Iran. Since 2009 I have joined SIP group and have started a Ph.D. program in computer sciences department of UniGE.

Research Interests

My general interests are stochastic signal processing, theoretical communications and information theory. I am particularly interested in problems which are motivated by practical applications.

Teaching

I'm teaching assistant for:

• Information Theory

Projects

The SNF has funded my research under projects 200021-119770.

 

Publications

• S. Voloshynovskiy, T. Holotyak, O. Koval, F. Beekhof, and F. Farhadzadeh, "Sign-Magnitude Decomposition of Mutual Information with Polarization Effect in Digital Identification," in Proc. IEEE ITW, Paraty, Brazil, 2011. [pdf|bib]

  @inproceedings { ,
      author = { S. Voloshynovskiy and T. Holotyak and O. Koval and F. Beekhof and F. Farhadzadeh },
      title = { Sign-Magnitude Decomposition of Mutual Information with Polarization Effect in Digital Identification },
      booktitle = { IEEE ITW },
      address = { Paraty, Brazil },
      month = { October, 16-20 },
      year = { 2011 }
  }

  Close
• S. Voloshynovskiy, T. Holotyak, O. Koval, F. Beekhof, and F. Farhadzadeh, "Private content identification based on soft fingerprinting," in Proc. Proceedings of SPIE Photonics West, Electronic Imaging, Media Forensics and Security XIII, San Francisco, USA, 2011. [pdf|bib]

  @inproceedings { Voloshynovskiy:2011:SPIE,
      author = { Sviatoslav Voloshynovskiy and Taras Holotyak and Oleksiy Koval and Fokko Beekhof and Farzad Farhadzadeh },
      title = { Private content identification based on soft fingerprinting },
      booktitle = { Proceedings of SPIE Photonics West, Electronic Imaging, Media Forensics and Security XIII },
      year = { 2011 },
      month = { January, 23–26 },
      address = { San Francisco, USA }
  }

  Close
• O. Koval, S. Voloshynovskiy, F. Farhadzadeh, T. Holotyak, and F. Beekhof, "Geometrically robust perceptual fingerprinting: an asymmetric case," in Proc. Proceedings of SPIE Photonics West, Electronic Imaging, Media Forensics and Security XIII, San Francisco, USA, 2011. [pdf|bib]

  @inproceedings { Koval:2011:SPIE,
      author = { Oleksiy Koval and Sviatoslav Voloshynovskiy and Farzad Farhadzadeh and Taras Holotyak and Fokko Beekhof },
      title = { Geometrically robust perceptual fingerprinting: an asymmetric case },
      booktitle = { Proceedings of SPIE Photonics West, Electronic Imaging, Media Forensics and Security XIII },
      year = { 2011 },
      month = { January, 23–26 },
      address = { San Francisco, USA }
  }

  Close
• T. Holotyak, S. Voloshynovskiy, F. Farhadzadeh, O. Koval, and F. Beekhof, "Fast physical object identification based on unclonable features and soft fingerprinting," in Proc. International Conference on Acoustics, Speech and Signal Processing ICASSP2011, Prague, Czech Republic, 2011. [pdf|bib]

  @inproceedings { Holotyak:2011:ICASSP,
      author = { Taras Holotyak and Sviatoslav Voloshynovskiy and Farzad Farhadzadeh and Oleksiy Koval and Fokko Beekhof },
      title = { Fast physical object identification based on unclonable features and soft fingerprinting },
      booktitle = { International Conference on Acoustics, Speech and Signal Processing ICASSP2011 },
      year = { 2011 },
      month = { May, 22-27 },
      address = { Prague, Czech Republic }
  }

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• O. Koval, S. Voloshynovskiy, and F. Farhadzadeh, "Identification In Desynchronization Channels," in Proc. IEEE ITW, Paraty, Brazil, 2011. [pdf|bib]

  @inproceedings { ,
      author = { O. Koval and S. Voloshynovskiy and F. Farhadzadeh },
      title = { Identification In Desynchronization Channels },
      booktitle = { IEEE ITW },
      address = { Paraty, Brazil },
      month = { October, 16-20 },
      year = { 2011 }
  }

  Close
• F. Farhadzadeh, S. Voloshynovskiy, and O. Koval, "Privacy Preserving Identification: Order Statistics List Decoding Perspective," in Proc. International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Darmstadt, Germany, 2010. [pdf|bib]

  @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. }
  }

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• F. Farhadzadeh, S. Voloshynovskiy, and O. Koval, "Content Identification Based on digital fingerprint: what can be done if ML decoding fails?," in Proc. IEEE International Workshop on Multimedia Signal Processing, Saint-Malo, France, 2010. [bib]

  @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. }
  }

  Close
• F. Farhadzadeh, S. Voloshynovskiy, and O. Koval, "Content-Identification: towards Capacity Based on Bounded Distance Decoder," in Proc. Applications of Information Theory, Coding and Security, Yerevan, Armenia, 2010. [pdf|bib]

  @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. }
  }

  Close
• S. Voloshynovskiy, O. Koval, T. Holotyak, F. Beekhof, and F. Farhadzadeh, "Privacy amplification of content identification based on fingerprint bit reliability," in Proc. Proceedings of IEEE International Workshop on Information Forensics and Security, Seattle, The USA, 2010. [pdf|bib]

  @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 }
  }

  Close
• S. Voloshynovskiy, O. Koval, F. Beekhof, F. Farhadzadeh, and T. Holotyak, "Information-Theoretical Analysis of Private Content Identification," in Proc. IEEE Information Theory Workshop, ITW2010, Dublin, Ireland, 2010. [pdf|bib]

  @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 }
  }

  Close
• F. Farhadzadeh, S. Voloshynovskiy, and O. Koval, "Performance Analysis of Identification System Based on Order Statistics List Decoder," in Proc. IEEE International Symposium on Information Theory, Austin, TX, 2010. [pdf|bib]

  @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 }
  }

  Close