Behrooz Razeghi   

Biography

Dr. Behrooz Razeghi is a postdoctoral researcher in the Biometric Security & Privacy group at the Idiap Research Institute. He completed his Ph.D. in Computer Science at the University of Geneva in 2022, where he contributed to the Stochastic Information Processing group.

During his academic journey, Dr. Razeghi gained experience as a visiting research fellow at Harvard University and as a visiting research scholar at Imperial College London. Prior to his Ph.D., he obtained an M.Sc. in Mathematics (Numerical Analysis) from Iran University of Science and Technology in 2017 and an M.Sc. in Electrical Engineering (Communications Systems) from Ferdowsi University of Mashhad in 2014.

Research Interests

Dr. Razeghi's research interests encompass the application of mathematical and statistical theories to various fields, including signal processing, machine learning, data privacy, communications, and networking. His diverse educational background has equipped him with the skills needed to address challenges in these areas.

Teaching

He was teaching assistant for:

• Éléments de la theorie de l'information (Elements of Information Theory) - a bachelor's course (in French)
• Structures de données (Data Structure) - a bachelor's course (in French)
• Multiuser Information Theory and Wireless Communications - a master's course (in English)

Publications

An (almost) up-to-date list of his publications can be found on Google Scholar. 

The list below highlights the publications to which Behrooz Razeghi has contributed within the SIP group

• B. Razeghi, S. Voloshynovskiy, D. Kostadinov, and O. Taran, "Privacy Preserving Identification Using Sparse Approximation with Ambiguization," in Proc. IEEE International Workshop on Information Forensics and Security (WIFS), Rennes, France, 2017, pp. 1-6. [pdf|bib]

  @inproceedings { Razeghi2017wifs,
      author = { Razeghi, Behrooz and Voloshynovskiy, Slava and Kostadinov, Dimche and Taran, Olga },
      booktitle = { IEEE International Workshop on Information Forensics and Security (WIFS) },
      title = { Privacy Preserving Identification Using Sparse Approximation with Ambiguization },
      address = { Rennes, France },
      pages = { 1--6 },
      month = { December },
      year = { 2017 }
  }

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• D. Kostadinov, B. Razeghi, S.Voloshynovskiy, and S.Ferdowsi, "Learning Discrimination Specific, Self-Collaborative and Nonlinear Model," in Proc. IEEE Internacial Conference on Big Knowlage (ICBK), Singapore, 2018. [pdf|bib]

  @inproceedings { Kostadinov2018:ICBK,
      author = { D. Kostadinov, and B. Razeghi, and S.Voloshynovskiy, and S.Ferdowsi },
      year = { 2018 },
      month = { November },
      title = { Learning Discrimination Specific, Self-Collaborative and Nonlinear Model },
      booktitle = { IEEE Internacial Conference on Big Knowlage (ICBK) },
      pages = { },
      address = { Singapore }
  }

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• B. Razeghi, S. Voloshynovskiy, S. Ferdowsi, and D. Kostadinov, "Privacy-Preserving Identification via Layered Sparse Code Design: Distributed Servers and Multiple Access Authorization," in Proc. 26th European Signal Processing Conference (EUSIPCO), Rome, Italy, 2018. [pdf|bib]

  @inproceedings { Razeghi2018eusipco,
      author = { Razeghi, Behrooz and Voloshynovskiy, Slava and Ferdowsi, Sohrab and Kostadinov, Dimche },
      booktitle = { 26th European Signal Processing Conference (EUSIPCO) },
      title = { Privacy-Preserving Identification via Layered Sparse Code Design: Distributed Servers and Multiple Access Authorization },
      address = { Rome, Italy },
      pages = { },
      month = { September },
      year = { 2018 }
  }

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• B. Razeghi and S. Voloshynovskiy, "Privacy-Preserving Outsourced Media Search Using Secure Sparse Ternary Codes," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Alberta, Canada, 2018. [pdf|bib]

  @inproceedings { Razeghi2018icassp,
      author = { Razeghi, Behrooz and Voloshynovskiy, Slava },
      booktitle = { IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) },
      title = { Privacy-Preserving Outsourced Media Search Using Secure Sparse Ternary Codes },
      address = { Calgary, Alberta, Canada },
      month = { April },
      pages = { },
      year = { 2018 }
  }

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• B. Razeghi, T. Stanko, B. Škoric´, and S. Voloshynovskiy, "Single-Component Privacy Guarantees in Helper Data Systems and Sparse Coding with Ambiguation," in Proc. IEEE International Workshop on Information Forensics and Security (WIFS), Delft, Netherlands, 2019. [pdf|bib]

  @inproceedings { Razeghi2019wifs,
      author = { Razeghi, Behrooz and Stanko, Taras and Škoric´, Boris and Voloshynovskiy, Slava },
      booktitle = { IEEE International Workshop on Information Forensics and Security (WIFS) },
      title = { Single-Component Privacy Guarantees in Helper Data Systems and Sparse Coding with Ambiguation },
      address = { Delft, Netherlands },
      pages = { },
      month = { December },
      year = { 2019 }
  }

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• S. Rezaeifar, B. Razeghi, O. Taran, T. Holotyak, and S. Voloshynovskiy, "Reconstruction of privacy-sensitive data from protected templates," in Proc. IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019. [pdf|bib]

  @inproceedings { Razeghi2019icip,
      author = { Rezaeifar, Shideh and Razeghi, Behrooz and Taran, Olga and Holotyak, Taras and Voloshynovskiy, Slava },
      booktitle = { IEEE International Conference on Image Processing (ICIP) },
      title = { Reconstruction of privacy-sensitive data from protected templates },
      address = { Taipei, Taiwan },
      month = { September },
      pages = { },
      year = { 2019 }
  }

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• D. Kostadinov, B. Razeghi, S. Rezaeifar, and S. Voloshynovskiy, "Supervised Joint Nonlinear Transform Learning with Discriminative-Ambiguous Prior for Generic Privacy-Preserved Features," in Proc. 53rd Annual Conference on Information Systems & Sciencese (CISS), Maryland, USA, 2019. [pdf|bib]

  @inproceedings { Kostadinov2019ciss,
      author = { Kostadinov, Dimche and Razeghi, Behrooz and Rezaeifar, Shideh and Voloshynovskiy, Slava },
      booktitle = { 53rd Annual Conference on Information Systems & Sciencese (CISS) },
      title = { Supervised Joint Nonlinear Transform Learning with Discriminative-Ambiguous Prior for Generic Privacy-Preserved Features },
      address = { Maryland, USA },
      pages = { },
      month = { March },
      year = { 2019 }
  }

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• M. Gheisari, T. Furon, L. Amsaleg, B. Razeghi, and S. Voloshynovskiy, "Aggregation and Embedding for Group Membership Verification," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 2019. [pdf|bib]

  @inproceedings { Razeghi2019icassp,
      author = { Gheisari, Marzieh and Furon, Teddy and Amsaleg, Laurent and Razeghi, Behrooz and Voloshynovskiy, Slava },
      booktitle = { IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) },
      title = { Aggregation and Embedding for Group Membership Verification },
      address = { Brighton, United Kingdom },
      month = { May },
      pages = { },
      year = { 2019 }
  }

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• B. Razeghi, F. P. Calmon, D. Gündüz, and S. Voloshynovskiy, "On Perfect Obfuscation: Local Information Geometry Analysis," in Proc. IEEE International Workshop on Information Forensics and Security (WIFS), New York, US, 2020. [pdf|bib]

  @inproceedings { Razeghi2020PerfectObfuscation,
      author = { Razeghi, Behrooz and P. Calmon, Flavio and G{\"u}nd{\"u}z, Deniz and Voloshynovskiy, Slava },
      booktitle = { IEEE International Workshop on Information Forensics and Security (WIFS) },
      title = { On Perfect Obfuscation: Local Information Geometry Analysis },
      address = { New York, US },
      pages = { },
      month = { December },
      year = { 2020 }
  }

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• S. Rezaeifar, M. Diephuis, B. Razeghi, O. Taran, D. Ullmann, and S. Voloshynovskiy, "Distributed Semi-Private Image Classification Based on Information-Bottleneck Principle," in Proc. 28th European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, 2020. [pdf|bib]

  @inproceedings { rezaeifar2020Eusipco,
      author = { Rezaeifar, Shideh and Diephuis, Maurits and Razeghi, Behrooz and Taran, Olga and Ullmann, Denis and Voloshynovskiy, Slava },
      booktitle = { 28th European Signal Processing Conference (EUSIPCO) },
      title = { Distributed Semi-Private Image Classification Based on Information-Bottleneck Principle },
      address = { Amsterdam, Netherlands },
      pages = { },
      month = { },
      year = { 2020 }
  }

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• S. Ferdowsi, B. Razeghi, T. Holotyak, F. P. Calmon, and S. Voloshynovskiy, "Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020. [pdf|bib]

  @inproceedings { ICASSP20_Privacy,
      author = { Ferdowsi, Sohrab and Razeghi, Behrooz and Holotyak, Taras and P. Calmon, Flavio and Voloshynovskiy, Slava },
      booktitle = { IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) },
      title = { Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups },
      year = { 2020 }
  }

  Close
• B. Razeghi, S. Ferdowsi, D. Kostadinov, F. P. Calmon, and S. Voloshynovskiy, "Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Ontario, Canada, 2021. [pdf|bib]

  @inproceedings { Razeghi2021FairANN,
      author = { Razeghi, Behrooz and Ferdowsi, Sohrab and Kostadinov, Dimche and P. Calmon, Flavio and Voloshynovskiy, Slava },
      booktitle = { IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) },
      title = { Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation },
      address = { Toronto, Ontario, Canada },
      pages = { },
      month = { June },
      year = { 2021 }
  }

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• A. A. Atashin, B. Razeghi, D. Gündüz, and S. Voloshynovskiy, "Variational Leakage: The Role of Information Complexity in Privacy Leakage," in Proc. Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning, 2021, pp. 91-96. [pdf|bib]

  @inproceedings { Razeghi2021variational,
      title = { Variational Leakage: The Role of Information Complexity in Privacy Leakage },
      author = { Atashin, Amir Ahooye and Razeghi, Behrooz and G{\"u}nd{\"u}z, Deniz and Voloshynovskiy, Slava },
      booktitle = { Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning },
      pages = { 91--96 },
      year = { 2021 }
  }

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• I. Shiri, M. Amini, Y. Salimi, A. Sanaat, A. Saberi, B. Razeghi, S. Ferdowsi, A. V. Sadr, S. Voloshynovskiy, D. Gündüz, A. Rahmim, and H. Zaidi, "Multi-Institutional PET/CT Image Segmentation Using a Decentralized Federated Deep Transformer Learning Algorithm," Journal of Nuclear Medicine, vol. 63, iss. supplement 2, pp. 3348-3348, 2022. [link|bib]

  @article { Shiri3348,
      author = { Isaac Shiri and Mehdi Amini and Yazdan Salimi and Amirhossein Sanaat and Abdollah Saberi and Behrooz Razeghi and Sohrab Ferdowsi and Alireza Vafaei Sadr and Slava Voloshynovskiy and Deniz G{\"u}nd{\"u}z and Arman Rahmim and Habib Zaidi },
      title = { Multi-Institutional PET/CT Image Segmentation Using a Decentralized Federated Deep Transformer Learning Algorithm },
      volume = { 63 },
      number = { supplement 2 },
      pages = { 3348--3348 },
      year = { 2022 },
      issn = { 0161-5505 },
      eprint = { https://jnm.snmjournals.org/content },
      journal = { Journal of Nuclear Medicine }
  }

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• I. Shiri, A. V. Sadr, M. Amini, Y. Salimi, A. Sanaat, A. Akhavanallaf, B. Razeghi, S. Ferdowsi, A. Saberi, H. Arabi, and others, "Decentralized distributed multi-institutional PET image segmentation using a federated deep learning framework," Clinical Nuclear Medicine, vol. 47, iss. 7, pp. 606-617, 2022. [pdf|bib]

  @article { shiri2022decentralized,
      title = { Decentralized distributed multi-institutional PET image segmentation using a federated deep learning framework },
      author = { Shiri, Isaac and Sadr, Alireza Vafaei and Amini, Mehdi and Salimi, Yazdan and Sanaat, Amirhossein and Akhavanallaf, Azadeh and Razeghi, Behrooz and Ferdowsi, Sohrab and Saberi, Abdollah and Arabi, Hossein and others },
      journal = { Clinical Nuclear Medicine },
      volume = { 47 },
      number = { 7 },
      pages = { 606--617 },
      year = { 2022 },
      publisher = { LWW }
  }

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• I. Shiri, E. Showkatian, R. Mohammadi, B. Razeghi, S. Bagheri, G. Hajianfar, Y. Salimi, M. Amini, M. Ghelich Oghli, S. Ferdowsi, S. Voloshynovskiy, and H. Zaidi, "Collaborative Multi-Institutional Prostate Lesion Segmentation from MR images Using Deep Federated Learning Framework," in Proc. IEEE Nuclear Science Symposium, Medical Imaging Conference, 2022. [pdf|bib]

  @inproceedings { razeghi2022bottlenecks,
      title = { Collaborative Multi-Institutional Prostate Lesion Segmentation from MR images Using Deep Federated Learning Framework },
      author = { Shiri, Isaac and Showkatian, Eman and Mohammadi, Reza and Razeghi, Behrooz and Bagheri, Soroush and Hajianfar, Ghasem and Salimi, Yazdan and Amini, Mehdi and Ghelich Oghli, Mostafa and Ferdowsi, Sohrab and Voloshynovskiy, Slava and Zaidi, Habib },
      booktitle = { IEEE Nuclear Science Symposium, Medical Imaging Conference },
      year = { 2022 },
      organization = { IEEE }
  }

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• B. Razeghi, S. Rezaeifar, S. Ferdowsi, T. Holotyak, and S. Voloshynovskiy, "Compressed Data Sharing based on Information Bottleneck Model," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022. [pdf|bib]

  @inproceedings { ICASSP22_razeghi,
      author = { Razeghi, Behrooz and Rezaeifar, Shideh and Ferdowsi, Sohrab and Holotyak, Taras and Voloshynovskiy, Slava },
      booktitle = { IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) },
      title = { Compressed Data Sharing based on Information Bottleneck Model },
      year = { 2022 }
  }

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• I. Shiri, Y. Salimi, M. Maghsudi, E. Jenabi, S. Harsini, B. Razeghi, S. Mostafaei, G. Hajianfar, A. Sanaat, E. Jafari, and others, "Differential privacy preserved federated transfer learning for multi-institutional 68Ga-PET image artefact detection and disentanglement," European Journal of Nuclear Medicine and Molecular Imaging (EJNMMI), pp. 1-14, 2023. [pdf|bib]

  @article { shiri2023differential,
      title = { Differential privacy preserved federated transfer learning for multi-institutional 68Ga-PET image artefact detection and disentanglement },
      author = { Shiri, Isaac and Salimi, Yazdan and Maghsudi, Mehdi and Jenabi, Elnaz and Harsini, Sara and Razeghi, Behrooz and Mostafaei, Shayan and Hajianfar, Ghasem and Sanaat, Amirhossein and Jafari, Esmail and others },
      journal = { European Journal of Nuclear Medicine and Molecular Imaging (EJNMMI) },
      pages = { 1--14 },
      year = { 2023 },
      publisher = { Springer }
  }

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• B. Razeghi, F. P. Calmon, D. Gündüz, and S. Voloshynovskiy, "Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility," IEEE Transactions on Information Forensics and Security (TIFS), 2023. [pdf|bib]

  @article { razeghi2022bottlenecks,
      title = { Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility },
      author = { Razeghi, Behrooz and Calmon, Flavio P and G\"{u}nd\"{u}z, Deniz and Voloshynovskiy, Slava },
      journal = { IEEE Transactions on Information Forensics and Security (TIFS) },
      year = { 2023 }
  }

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• I. Shiri, B. Razeghi, A. Vafaei Sadr, M. Amini, Y. Salimi, S. Ferdowsi, P. Boor, D. Gündüz, S. Voloshynovskiy, and H. Zaidi, "Multi-Institutional PET/CT Image Segmentation Using Federated Deep Transformer Learning," Computer methods and programs in biomedicine, vol. 240, 2023. [pdf|bib]

  @article { Shiri_CMPB,
      author = { Shiri, Isaac and Razeghi, Behrooz and Vafaei Sadr, Alireza and Amini, Mehdi and Salimi, Yazdan and Ferdowsi, Sohrab and Boor, Peter and G{\"u}nd{\"u}z, Deniz and Voloshynovskiy, Slava and Zaidi, Habib },
      title = { Multi-Institutional PET/CT Image Segmentation Using Federated Deep Transformer Learning },
      journal = { Computer methods and programs in biomedicine },
      volume = { 240 },
      year = { 2023 },
      publisher = { Elsevier }
  }

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• I. Shiri, A. Vafaei Sadr, A. Akhavan, Y. Salimi, A. Sanaat, M. Amini, B. Razeghi, A. Saberi, H. Arabi, S. Ferdowsi, and others, "Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning," European Journal of Nuclear Medicine and Molecular Imaging, vol. 50, iss. 4, pp. 1034-1050, 2023. [pdf|bib]

  @article { shiri2023decentralized,
      title = { Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning },
      author = { Shiri, Isaac and Vafaei Sadr, Alireza and Akhavan, Azadeh and Salimi, Yazdan and Sanaat, Amirhossein and Amini, Mehdi and Razeghi, Behrooz and Saberi, Abdollah and Arabi, Hossein and Ferdowsi, Sohrab and others },
      journal = { European Journal of Nuclear Medicine and Molecular Imaging },
      volume = { 50 },
      number = { 4 },
      pages = { 1034--1050 },
      year = { 2023 },
      publisher = { Springer }
  }

  Close
• I. Shiri, Y. Salimi, N. Sirjani, B. Razeghi, S. Bagherieh, M. Pakbin, Z. Mansouri, G. Hajianfar, A. H. Avval, D. Askari, and others, "Differential privacy preserved federated learning for prognostic modeling in COVID-19 patients using large multi-institutional chest CT dataset," Medical Physics, 2024. [pdf|bib]

  @article { shiri2024differential,
      title = { Differential privacy preserved federated learning for prognostic modeling in COVID-19 patients using large multi-institutional chest CT dataset },
      author = { Shiri, Isaac and Salimi, Yazdan and Sirjani, Nasim and Razeghi, Behrooz and Bagherieh, Sara and Pakbin, Masoumeh and Mansouri, Zahra and Hajianfar, Ghasem and Avval, Atlas Haddadi and Askari, Dariush and others },
      journal = { Medical Physics },
      publisher = { Wiley Online Library },
      year = { 2024 }
  }

  Close
• B. Razeghi, M. Gheisari, A. Atashin, D. Kostadinov, S. Marcel, D. Gunduz, and S. Voloshynovskiy, "Group Membership Verification via Nonlinear Sparsifying Transform Learning," IEEE Access, vol. 12, pp. 86739-86751, 2024. [pdf|bib]

  @article { Razeghi2024,
      author = { Behrooz Razeghi and Marzieh Gheisari and Amir Atashin and Dimche Kostadinov and Sebastien Marcel and Deniz Gunduz and Slava Voloshynovskiy },
      title = { Group Membership Verification via Nonlinear Sparsifying Transform Learning },
      journal = { IEEE Access },
      year = { 2024 },
      volume = { 12 },
      pages = { 86739--86751 },
      doi = { 10.1109/ACCESS.2024.3417301 },
      keywords = { Transforms;Servers;Analytical models;Data models;Sparse approximation;Protocols;Formal verification;Group testing;transform learning;discrimination;identification;verification }
  }

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• I. Shiri, B. Razeghi, S. Ferdowsi, Y. Salimi, D. Gündüz, D. Teodoro, S. Voloshynovskiy, and H. Zaidi, "PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation," Journal of biomedical informatics, vol. 150, 2024. [pdf|bib]

  @article { shiri2024primis,
      title = { PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation },
      author = { Shiri, Isaac and Razeghi, Behrooz and Ferdowsi, Sohrab and Salimi, Yazdan and G{\"u}nd{\"u}z, Deniz and Teodoro, Douglas and Voloshynovskiy, Slava and Zaidi, Habib },
      journal = { Journal of biomedical informatics },
      volume = { 150 },
      year = { 2024 },
      issn = { 1532-0464 },
      doi = { https://doi.org/10.1016/j.jbi.2024.104583 },
      publisher = { Elsevier }
  }

  Close