Olga Taran

Orcid: 0000-0001-8537-5204

According to our database1, Olga Taran authored at least 32 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
Authentication of Copy Detection Patterns: A Pattern Reliability Based Approach.
IEEE Trans. Inf. Forensics Secur., 2024

A Machine Learning-Based Digital Twin for Anti-Counterfeiting Applications With Copy Detection Patterns.
IEEE Trans. Inf. Forensics Secur., 2024

Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model.
CoRR, 2024

2023
Correction: Mobile authentication of copy detection patterns.
EURASIP J. Inf. Secur., December, 2023

Mobile authentication of copy detection patterns.
EURASIP J. Inf. Secur., December, 2023

Multivariate Time Series Information Bottleneck.
Entropy, 2023

Stochastic Digital Twin for Copy Detection Patterns.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2023

2022
Mathematical model of printing-imaging channel for blind detection of fake copy detection patterns.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2022

Anomaly localization for copy detection patterns through print estimations.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2022

Printing variability of copy detection patterns.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2022

Digital twins of physical printing-imaging channel.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2022

Authentication Of Copy Detection Patterns Under Machine Learning Attacks: A Supervised Approach.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Reliable classification in digital and physical worlds under active adversaries and prior ambiguity.
PhD thesis, 2021

Machine learning attack on copy detection patterns: are 1x1 patterns cloneable?
CoRR, 2021

Mobile authentication of copy detection patterns: how critical is to know fakes?
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2021

Machine learning attack on copy detection patterns: are $1\times 1$ patterns cloneable?
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2021

ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Variational Information Bottleneck for Semi-Supervised Classification.
Entropy, 2020

Information Bottleneck Classification in Extremely Distributed Systems.
Entropy, 2020

Machine learning through cryptographic glasses: combating adversarial attacks by key-based diversified aggregation.
EURASIP J. Inf. Secur., 2020

Adversarial Detection of Counterfeited Printable Graphical Codes: Towards "Adversarial Games" In Physical World.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Distributed Semi-Private Image Classification Based on Information-Bottleneck Principle.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Information bottleneck through variational glasses.
CoRR, 2019

Robustification of Deep Net Classifiers by Key Based Diversified Aggregation with Pre-Filtering.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Reconstruction of Privacy-Sensitive Data from Protected Templates.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Clonability of Anti-counterfeiting Printable Graphical Codes: A Machine Learning Approach.
Proceedings of the IEEE International Conference on Acoustics, 2019

Defending Against Adversarial Attacks by Randomized Diversification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Classification by Re-generation: Towards Classification Based on Variational Inference.
Proceedings of the 26th European Signal Processing Conference, 2018

Injecting Image Priors into Learnable Compressive Subsampling.
Proceedings of the 26th European Signal Processing Conference, 2018

Bridging Machine Learning and Cryptography in Defence Against Adversarial Attacks.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Privacy preserving identification using sparse approximation with ambiguization.
Proceedings of the 2017 IEEE Workshop on Information Forensics and Security, 2017

PharmaPack: Mobile fine-grained recognition of pharma packages.
Proceedings of the 25th European Signal Processing Conference, 2017


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