Marina Krcek

Orcid: 0000-0001-8475-1853

According to our database1, Marina Krcek authored at least 16 papers between 2020 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Label Correlation in Deep Learning-Based Side-Channel Analysis.
IEEE Trans. Inf. Forensics Secur., 2023

The Need for MORE: Unsupervised Side-channel Analysis with Single Network Training and Multi-output Regression.
IACR Cryptol. ePrint Arch., 2023

Shift-invariance Robustness of Convolutional Neural Networks in Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2023

Autoencoder-enabled Model Portability for Reducing Hyperparameter Tuning Efforts in Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2023

Short paper: Diversity Methods for Laser Fault Injection to Improve Location Coverage.
IACR Cryptol. ePrint Arch., 2023

It's a Kind of Magic: A Novel Conditional GAN Framework for Efficient Profiling Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2023

BlindSage: Label Inference Attacks against Node-level Vertical Federated Graph Neural Networks.
CoRR, 2023

Modeling Strong Physically Unclonable Functions with Metaheuristics.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Deep Learning on Side-Channel Analysis.
Security and Artificial Intelligence, 2022

AGE Is Not Just a Number: Label Distribution in Deep Learning-based Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2022

The More You Know: Improving Laser Fault Injection with Prior Knowledge.
IACR Cryptol. ePrint Arch., 2022

What Do You See? Transforming Fault Injection Target Characterizations.
Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2022

2021
On the Importance of Initial Solutions Selection in Fault Injection.
Proceedings of the 18th Workshop on Fault Detection and Tolerance in Cryptography, 2021

2020
Everything is Connected: From Model Learnability to Guessing Entropy.
IACR Cryptol. ePrint Arch., 2020

A Comparison of Weight Initializers in Deep Learning-based Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2020

Learning From A Big Brother - Mimicking Neural Networks in Profiled Side-channel Analysis.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020


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