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12/14/2022
Mathematical model of printing-imaging channel for blind detection of fake copy detection patterns
Nowadays, copy detection patterns (CDP) appear as a very promising anti-...
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10/28/2022
Digital twins of physical printing-imaging channel
In this paper, we address the problem of modeling a printing-imaging cha...
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10/11/2022
Printing variability of copy detection patterns
Copy detection pattern (CDP) is a novel solution for products' protectio...
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09/29/2022
Anomaly localization for copy detection patterns through print estimations
Copy detection patterns (CDP) are recent technologies for protecting pro...
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07/11/2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility
Bottleneck problems are an important class of optimization problems that...
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06/23/2022
Authentication of Copy Detection Patterns under Machine Learning Attacks: A Supervised Approach
Copy detection patterns (CDP) are an attractive technology that allows m...
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03/04/2022
Mobile authentication of copy detection patterns
In the recent years, the copy detection patterns (CDP) attracted a lot o...
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12/15/2021
Funnels: Exact maximum likelihood with dimensionality reduction
Normalizing flows are diffeomorphic, typically dimension-preserving, mod...
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10/05/2021
Machine learning attack on copy detection patterns: are 1x1 patterns cloneable?
Nowadays, the modern economy critically requires reliable yet cheap prot...
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10/05/2021
Mobile authentication of copy detection patterns: how critical is to know fakes?
Protection of physical objects against counterfeiting is an important ta...
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06/05/2021
Variational Leakage: The Role of Information Complexity in Privacy Leakage
We study the role of information complexity in privacy leakage about an ...
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02/08/2021
Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation
In this paper, we propose a framework for privacy-preserving approximate...
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09/09/2020
On Perfect Obfuscation: Local Information Geometry Analysis
We consider the problem of privacy-preserving data release for a specifi...
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02/04/2020
Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups
We propose a practical framework to address the problem of privacy-aware...
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12/02/2019
Information bottleneck through variational glasses
Information bottleneck (IB) principle [1] has become an important elemen...
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09/13/2019
ρ-VAE: Autoregressive parametrization of the VAE encoder
We make a minimal, but very effective alteration to the VAE model. This ...
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07/15/2019
Single-Component Privacy Guarantees in Helper Data Systems and Sparse Coding
We investigate the privacy of two approaches to (biometric) template pro...
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05/14/2019
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...
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05/08/2019
Reconstruction of Privacy-Sensitive Data from Protected Templates
In this paper, we address the problem of data reconstruction from privac...
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04/01/2019
Defending against adversarial attacks by randomized diversification
The vulnerability of machine learning systems to adversarial attacks que...
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03/18/2019
Clonability of anti-counterfeiting printable graphical codes: a machine learning approach
In recent years, printable graphical codes have attracted a lot of atten...
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01/31/2019
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...
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01/30/2019
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 ...
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12/10/2018
Aggregation and Embedding for Group Membership Verification
This paper proposes a group membership verification protocol preventing ...
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09/10/2018
Classification by Re-generation: Towards Classification Based on Variational Inference
As Deep Neural Networks (DNNs) are considered the state-of-the-art in ma...
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09/05/2018
Bridging machine learning and cryptography in defence against adversarial attacks
In the last decade, deep learning algorithms have become very popular th...
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06/07/2018
Privacy-Preserving Identification via Layered Sparse Code Design: Distributed Servers and Multiple Access Authorization
We propose a new computationally efficient privacy-preserving identifica...
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05/20/2018
Network Learning with Local Propagation
This paper presents a locally decoupled network parameter learning with ...
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10/31/2017
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...
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09/29/2017
Privacy Preserving Identification Using Sparse Approximation with Ambiguization
In this paper, we consider a privacy preserving encoding framework for i...
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07/07/2017
A multi-layer image representation using Regularized Residual Quantization: application to compression and denoising
A learning-based framework for representation of domain-specific images ...
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01/26/2017