@inproceedings { Chaban2021wifs,
    author = { Chaban, Roman and Taran, Olga and Tutt, Joakim and Holotyak, Taras and Bonev, Slavi and Voloshynovskiy, Slava },
    booktitle = { IEEE International Workshop on Information Forensics and Security (WIFS) },
    title = { Machine learning attack on copy detection patterns: are 1x1 patterns cloneable? },
    address = { Montpellier, France },
    pages = { },
    month = { December },
    year = { 2021 }
}

@inproceedings { Taran2021IndigoMobile,
    author = { Taran, Olga and Tutt, Joakim and Holotyak, Taras and Chaban, Roman and Bonev, Slavi and Voloshynovskiy, Slava },
    booktitle = { IEEE International Workshop on Information Forensics and Security (WIFS) },
    title = { Mobile authentication of copy detection patterns: how critical is to know fakes? },
    address = { Montpellier, France },
    pages = { },
    month = { December },
    year = { 2021 }
}

@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 }
}

@inproceedings { klein2021funnels,
    title = { Funnels: Exact maximum likelihood with dimensionality reduction },
    author = { Samuel Klein and John A. Raine and Sebastian Pina-Otey and Slava Voloshynovskiy and Tobias Golling },
    year = { 2021 },
    eprint = { 2112.08069 },
    archiveprefix = { arXiv },
    primaryclass = { cs.LG }
}

@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 }
}

@inproceedings { kinakh2021informationtheoretic,
    title = { Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN },
    author = { Kinakh, Vitaliy and Drozdova, Mariia and Quétant, Guillaume and Golling, Tobias and Voloshynovskiy, Slava },
    booktitle = { Bayesian Deep Learning NeurIPS workshop },
    year = { 2021 }
}

@inproceedings { Quetant2021turbosim,
    title = { Turbo-Sim: a generalised generative model with a physical latent space },
    author = { Guillaume Quétant and Mariia Drozdova and Vitaliy Kinakh and Tobias Golling and Slava Voloshynovskiy },
    year = { 2021 },
    eprint = { 2112.10629 },
    archiveprefix = { arXiv },
    primaryclass = { cs.LG }
}

@inproceedings { kinakh2021scatsimclr,
    title = { ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets },
    author = { Vitaliy Kinakh and Slava Voloshynovskiy and Olga Taran },
    booktitle = { 2nd Visual Inductive Priors for Data-Efficient Deep Learning Workshop },
    year = { 2021 }
}