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Marina Krcek
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2020 – today
- 2024
- [c8]Marina Krcek, Thomas Ordas:
Diversity Algorithms for Laser Fault Injection. ACNS Workshops (1) 2024: 121-138 - [c7]Ioana Savu, Marina Krcek, Guilherme Perin, Lichao Wu, Stjepan Picek:
The Need for MORE: Unsupervised Side-Channel Analysis with Single Network Training and Multi-output Regression. COSADE 2024: 113-132 - 2023
- [j1]Lichao Wu
, Léo Weissbart, Marina Krcek
, Huimin Li, Guilherme Perin, Lejla Batina
, Stjepan Picek
:
Label Correlation in Deep Learning-Based Side-Channel Analysis. IEEE Trans. Inf. Forensics Secur. 18: 3849-3861 (2023) - [c6]Carlos A. Coello Coello
, Marko Durasevic
, Domagoj Jakobovic
, Marina Krcek
, Luca Mariot
, Stjepan Picek
:
Modeling Strong Physically Unclonable Functions with Metaheuristics. GECCO Companion 2023: 719-722 - [i10]Marco Arazzi, Mauro Conti, Stefanos Koffas, Marina Krcek, Antonino Nocera, Stjepan Picek, Jing Xu:
BlindSage: Label Inference Attacks against Node-level Vertical Federated Graph Neural Networks. CoRR abs/2308.02465 (2023) - [i9]Marina Krcek, Guilherme Perin:
Autoencoder-enabled Model Portability for Reducing Hyperparameter Tuning Efforts in Side-channel Analysis. IACR Cryptol. ePrint Arch. 2023: 19 (2023) - [i8]Marina Krcek, Thomas Ordas, Stjepan Picek:
Short paper: Diversity Methods for Laser Fault Injection to Improve Location Coverage. IACR Cryptol. ePrint Arch. 2023: 893 (2023) - [i7]Marina Krcek, Lichao Wu, Guilherme Perin, Stjepan Picek:
Shift-invariance Robustness of Convolutional Neural Networks in Side-channel Analysis. IACR Cryptol. ePrint Arch. 2023: 1100 (2023) - [i6]Sengim Karayalcin, Marina Krcek, Lichao Wu, Stjepan Picek, Guilherme Perin:
It's a Kind of Magic: A Novel Conditional GAN Framework for Efficient Profiling Side-channel Analysis. IACR Cryptol. ePrint Arch. 2023: 1108 (2023) - [i5]Ioana Savu, Marina Krcek, Guilherme Perin, Lichao Wu, Stjepan Picek:
The Need for MORE: Unsupervised Side-channel Analysis with Single Network Training and Multi-output Regression. IACR Cryptol. ePrint Arch. 2023: 1681 (2023) - 2022
- [c5]Marina Krcek, Thomas Ordas, Daniele Fronte, Stjepan Picek:
The More You Know: Improving Laser Fault Injection with Prior Knowledge. FDTC 2022: 18-29 - [c4]Marina Krcek:
What Do You See? Transforming Fault Injection Target Characterizations. SPACE 2022: 165-184 - [p1]Marina Krcek, Huimin Li, Servio Paguada, Unai Rioja
, Lichao Wu, Guilherme Perin, Lukasz Chmielewski:
Deep Learning on Side-Channel Analysis. Security and Artificial Intelligence 2022: 48-71 - [i4]Marina Krcek, Thomas Ordas, Daniele Fronte, Stjepan Picek:
The More You Know: Improving Laser Fault Injection with Prior Knowledge. IACR Cryptol. ePrint Arch. 2022: 306 (2022) - [i3]Lichao Wu, Leo Weissbart, Marina Krcek, Huimin Li, Guilherme Perin, Lejla Batina, Stjepan Picek:
AGE Is Not Just a Number: Label Distribution in Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2022: 1507 (2022) - 2021
- [c3]Marina Krcek, Daniele Fronte, Stjepan Picek:
On the Importance of Initial Solutions Selection in Fault Injection. FDTC 2021: 1-12 - 2020
- [c2]Huimin Li, Marina Krcek, Guilherme Perin:
A Comparison of Weight Initializers in Deep Learning-Based Side-Channel Analysis. ACNS Workshops 2020: 126-143 - [c1]Daan van der Valk, Marina Krcek, Stjepan Picek, Shivam Bhasin:
Learning From A Big Brother - Mimicking Neural Networks in Profiled Side-channel Analysis. DAC 2020: 1-6 - [i2]Lichao Wu, Leo Weissbart, Marina Krcek, Huimin Li, Guilherme Perin, Lejla Batina, Stjepan Picek:
Everything is Connected: From Model Learnability to Guessing Entropy. IACR Cryptol. ePrint Arch. 2020: 899 (2020) - [i1]Huimin Li, Marina Krcek, Guilherme Perin:
A Comparison of Weight Initializers in Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2020: 904 (2020)
Coauthor Index
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