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Turbo-Sim: a generalised generative model with a physical latent space


Dec 21, 2021
Guillaume Quétant, Mariia Drozdova, Vitaliy Kinakh, Tobias Golling, Slava Voloshynovskiy

* 8 pages, 2 figures, 1 table 

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Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN


Dec 17, 2021
Vitaliy Kinakh, Mariia Drozdova, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy


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Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks


Dec 17, 2021
Mariia Drozdova, Vitaliy Kinakh, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy


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Funnels: Exact maximum likelihood with dimensionality reduction


Dec 15, 2021
Samuel Klein, John A. Raine, Sebastian Pina-Otey, Slava Voloshynovskiy, Tobias Golling

* 16 pages, 5 figures, 8 tables 

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Machine learning attack on copy detection patterns: are 1x1 patterns cloneable?


Oct 06, 2021
Roman Chaban, Olga Taran, Joakim Tutt, Taras Holotyak, Slavi Bonev, Slava Voloshynovskiy


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Variational Leakage: The Role of Information Complexity in Privacy Leakage


Jun 08, 2021
Amir Ahooye Atashin, Behrooz Razeghi, Deniz Gündüz, Slava Voloshynovskiy


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Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation


Feb 08, 2021
Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flavio. P. Calmon, Slava Voloshynovskiy

* To be presented at 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021) 

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Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups


Feb 04, 2020
Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flavio P. Calmon, Slava Voloshynovskiy

* Accepted as an oral presentation for ICASSP 2020 

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Information bottleneck through variational glasses


Dec 05, 2019
Slava Voloshynovskiy, Mouad Kondah, Shideh Rezaeifar, Olga Taran, Taras Holotyak, Danilo Jimenez Rezende


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$ρ$-VAE: Autoregressive parametrization of the VAE encoder


Sep 13, 2019
Sohrab Ferdowsi, Maurits Diephuis, Shideh Rezaeifar, Slava Voloshynovskiy

* Submitted to NeurIPS workshop on Bayesian deep learning 

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Robustification of deep net classifiers by key based diversified aggregation with pre-filtering


May 14, 2019
Olga Taran, Shideh Rezaeifar, Taras Holotyak, Slava Voloshynovskiy


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Reconstruction of Privacy-Sensitive Data from Protected Templates


May 08, 2019
Shideh Rezaeifar, Behrooz Razeghi, Olga Taran, Taras Holotyak, Slava Voloshynovskiy

* accepted at ICIP 2019 

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Defending against adversarial attacks by randomized diversification


Apr 01, 2019
Olga Taran, Shideh Rezaeifar, Taras Holotyak, Slava Voloshynovskiy


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Clonability of anti-counterfeiting printable graphical codes: a machine learning approach


Mar 18, 2019
Olga Taran, Slavi Bonev, Slava Voloshynovskiy


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Network Parameter Learning Using Nonlinear Transforms, Local Representation Goals and Local Propagation Constraints


Jan 31, 2019
Dimche Kostadinov, Behrooz Razdehi, Slava Voloshynovskiy

* arXiv admin note: text overlap with arXiv:1805.07802 

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Clustering with Jointly Learned Nonlinear Transforms Over Discriminating Min-Max Similarity/Dissimilarity Assignment


Jan 30, 2019
Dimche Kostadinov, Behrooz Razeghi, Taras Holotyak, Slava Voloshynovskiy


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Classification by Re-generation: Towards Classification Based on Variational Inference


Sep 10, 2018
Shideh Rezaeifar, Olga Taran, Slava Voloshynovskiy


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Bridging machine learning and cryptography in defence against adversarial attacks


Sep 05, 2018
Olga Taran, Shideh Rezaeifar, Slava Voloshynovskiy


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Network Learning with Local Propagation


May 20, 2018
Dimche Kostadinov, Behrooz Razeghi, Sohrab Ferdowsi, Slava Voloshynovskiy

* preprint, a similar version submitted to NIPS 2018 

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A multi-layer network based on Sparse Ternary Codes for universal vector compression


Oct 31, 2017
Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov

* Submitted to ICASSP 2018 

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Privacy Preserving Identification Using Sparse Approximation with Ambiguization


Sep 29, 2017
Behrooz Razeghi, Slava Voloshynovskiy, Dimche Kostadinov, Olga Taran

* submitted to WIFS 2017 

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A multi-layer image representation using Regularized Residual Quantization: application to compression and denoising


Jul 07, 2017
Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov

* At the International Conference on Image Processing 2017 (ICIP'17), Beijing, China 

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Regularized Residual Quantization: a multi-layer sparse dictionary learning approach


May 01, 2017
Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov

* To be presented at SPARS 2017, Lisbon, Portugal 

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Sparse Ternary Codes for similarity search have higher coding gain than dense binary codes


Apr 25, 2017
Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov, Taras Holotyak

* Accepted at 2017 IEEE International Symposium on Information Theory (ISIT'17) 

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