@inproceedings { Tutt2024wifs,
    author = { Tutt, Joakim and Voloshynovskiy, Slava },
    booktitle = { 16th IEEE International Workshop on Information Forensics and Security (WIFS) },
    title = { Provable Performance Guarantees of Copy Detection Patterns },
    address = { Roma, Italy },
    month = { December },
    year = { 2024 }
}

@inproceedings { kinakh2024wifs,
    author = { Kinakh, Vitaliy and Pulfer, Brian and Belousov, Yury and Fernandez, Pierre and Furon, Teddy and Voloshynovskiy, Slava },
    booktitle = { 16th IEEE International Workshop on Information Forensics and Security (WIFS) },
    title = { Evaluation of Security of ML-based Watermarking: Copy and Removal Attacks },
    address = { Roma, Italy },
    month = { December },
    year = { 2024 }
}

@inproceedings { chaban2024wifs,
    author = { Chaban, Roman and Pulfer, Brian and Voloshynovskiy, Slava },
    booktitle = { 16th IEEE International Workshop on Information Forensics and Security (WIFS) },
    title = { Assessing the Viability of Synthetic Physical Copy Detection Patterns on Different Imaging Systems },
    address = { Roma, Italy },
    month = { December },
    year = { 2024 }
}

@article { chaban2024eusipco,
    title = { Comparative Analysis of Copy Detection Patterns and Physical Unclonable Functions in Authentication Systems: A Mobile Phone Perspective },
    author = { Chaban, Roman and Icet, Ethan and Taran, Olga and Voloshynovskiy, Slava },
    booktitle = { 2024 32nd European Signal Processing Conference (EUSIPCO) },
    year = { 2024 },
    month = { August },
    organization = { IEEE }
}

@article { s24041151,
    author = { Kinakh, Vitaliy and Belousov, Yury and Quétant, Guillaume and Drozdova, Mariia and Holotyak, Taras and Schaerer, Daniel and Voloshynovskiy, Slava },
    title = { Hubble Meets Webb: Image-to-Image Translation in Astronomy },
    journal = { Sensors },
    volume = { 24 },
    year = { 2024 },
    number = { 4 },
    article-number = { 1151 },
    issn = { 1424-8220 },
    doi = { 10.3390/s24041151 }
}

@article { Belousov2024TIFS,
    author = { Belousov, Yury and Quétant, Guillaume and Pulfer, Brian and Chaban, Roman and Tutt, Joakim and Taran, Olga and Holotyak, Taras and Voloshynovskiy, Slava },
    journal = { IEEE Transactions on Information Forensics and Security },
    title = { A Machine Learning-Based Digital Twin for Anti-Counterfeiting Applications with Copy Detection Patterns },
    year = { 2024 },
    volume = { 19 },
    number = { },
    pages = { 3395-3408 },
    keywords = { Imaging;Authentication;Printing;Digital twins;Mathematical models;Training;Semiconductor device modeling;Copy detection patterns;machine learning;digital twin;information theory;variational approximation },
    doi = { 10.1109/TIFS.2024.3361798 }
}

@article { tutt2024pattern,
    author = { Tutt, Joakim and Taran, Olga and Chaban, Roman and Pulfer, Brian and Belousov, Yury and Holotyak, Taras and Voloshynovskiy, Slava },
    journal = { IEEE Transactions on Information Forensics and Security },
    title = { Authentication of Copy Detection Patterns: A Pattern Reliability Based Approach },
    year = { 2024 },
    volume = { 19 },
    number = { },
    pages = { 3124-3134 },
    keywords = { Authentication;Reliability;Symbols;Probes;Printing;Imaging;Smart phones;Copy detection patterns;smartphone authentication;binary pattern-based channel;deep learning fakes },
    doi = { 10.1109/TIFS.2024.3359510 }
}

@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 }
}

@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 }
}

@article { Oleksiyuk2024,
    author = { I. Oleksiyuk and J. A. Raine and M. Krämer and S. Voloshynovskiy and T. Golling },
    title = { Cluster Scanning: a novel approach to resonance searches },
    journal = { Journal of High Energy Physics },
    year = { 2024 },
    volume = { 2024 },
    number = { 6 },
    pages = { 163 },
    doi = { 10.1007/JHEP06(2024)163 },
    issn = { 1029-8479 }
}

@article { e26060466,
    author = { Kinakh, Vitaliy and Drozdova, Mariia and Voloshynovskiy, Slava },
    title = { MV–MR: Multi-Views and Multi-Representations for Self-Supervised Learning and Knowledge Distillation },
    journal = { Entropy },
    volume = { 26 },
    year = { 2024 },
    number = { 6 },
    article-number = { 466 },
    issn = { 1099-4300 },
    doi = { 10.3390/e26060466 }
}

@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 }
}

@inproceedings { lastufka_vision_2024,
    author = { Lastufka, E. and Drozdova, M. and Kinakh, V. and Piras, D. and Voloshynovskyy, S. },
    title = { Vision foundation models: can they be applied to astrophysics data? },
    booktitle = { Proceedings of the Conference on Astrophysics and Machine Learning (placeholder) },
    doi = { 10.48550/arXiv.2409.11175 },
    year = { 2024 }
}