Slava Voloshynovskiy

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University of Geneva

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Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation

In this paper, we propose a framework for privacy-preserving approximate...
02/08/2021 ∙ by Behrooz Razeghi, et al. ∙ 0 ∙ share

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On Perfect Obfuscation: Local Information Geometry Analysis

We consider the problem of privacy-preserving data release for a specifi...
09/09/2020 ∙ by Behrooz Razeghi, et al. ∙ 0 ∙ share

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Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups

We propose a practical framework to address the problem of privacy-aware...
02/04/2020 ∙ by Sohrab Ferdowsi, et al. ∙ 2 ∙ share

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Information bottleneck through variational glasses

Information bottleneck (IB) principle [1] has become an important elemen...
12/02/2019 ∙ by Slava Voloshynovskiy, et al. ∙ 0 ∙ share

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ρ-VAE: Autoregressive parametrization of the VAE encoder

We make a minimal, but very effective alteration to the VAE model. This ...
09/13/2019 ∙ by Sohrab Ferdowsi, et al. ∙ 0 ∙ share

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Single-Component Privacy Guarantees in Helper Data Systems and Sparse Coding

We investigate the privacy of two approaches to (biometric) template pro...
07/15/2019 ∙ by Behrooz Razeghi, et al. ∙ 0 ∙ share

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

In this paper, we address a problem of machine learning system vulnerabi...
05/14/2019 ∙ by Olga Taran, et al. ∙ 0 ∙ share

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Reconstruction of Privacy-Sensitive Data from Protected Templates

In this paper, we address the problem of data reconstruction from privac...
05/08/2019 ∙ by Shideh Rezaeifar, et al. ∙ 0 ∙ share

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Defending against adversarial attacks by randomized diversification

The vulnerability of machine learning systems to adversarial attacks que...
04/01/2019 ∙ by Olga Taran, et al. ∙ 0 ∙ share

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

In recent years, printable graphical codes have attracted a lot of atten...
03/18/2019 ∙ by Olga Taran, et al. ∙ 0 ∙ share

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

In this paper, we introduce a novel concept for learning of the paramete...
01/31/2019 ∙ by Dimche Kostadinov, et al. ∙ 0 ∙ share

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

This paper presents a novel clustering concept that is based on jointly ...
01/30/2019 ∙ by Dimche Kostadinov, et al. ∙ 0 ∙ share

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Aggregation and Embedding for Group Membership Verification

This paper proposes a group membership verification protocol preventing ...
12/10/2018 ∙ by Marzieh Gheisari, et al. ∙ 0 ∙ share

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

As Deep Neural Networks (DNNs) are considered the state-of-the-art in ma...
09/10/2018 ∙ by Shideh Rezaeifar, et al. ∙ 0 ∙ share

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Bridging machine learning and cryptography in defence against adversarial attacks

In the last decade, deep learning algorithms have become very popular th...
09/05/2018 ∙ by Olga Taran, et al. ∙ 0 ∙ share

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Privacy-Preserving Identification via Layered Sparse Code Design: Distributed Servers and Multiple Access Authorization

We propose a new computationally efficient privacy-preserving identifica...
06/07/2018 ∙ by Behrooz Razeghi, et al. ∙ 0 ∙ share

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Network Learning with Local Propagation

This paper presents a locally decoupled network parameter learning with ...
05/20/2018 ∙ by Dimche Kostadinov, et al. ∙ 0 ∙ share

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

We present the multi-layer extension of the Sparse Ternary Codes (STC) f...
10/31/2017 ∙ by Sohrab Ferdowsi, et al. ∙ 0 ∙ share

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Privacy Preserving Identification Using Sparse Approximation with Ambiguization

In this paper, we consider a privacy preserving encoding framework for i...
09/29/2017 ∙ by Behrooz Razeghi, et al. ∙ 0 ∙ share

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

A learning-based framework for representation of domain-specific images ...
07/07/2017 ∙ by Sohrab Ferdowsi, et al. ∙ 0 ∙ share

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

This paper addresses the problem of Approximate Nearest Neighbor (ANN) s...
01/26/2017 ∙ by Sohrab Ferdowsi, et al. ∙ 0 ∙ share

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