Sengim Karayalcin

According to our database, Sengim Karayalcin authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

It's Not Just a Phase: On Investigating Phase Transitions in Deep Learning-based Side-channel Analysis.

Sengim Karayalcin, Marina Krcek, Stjepan Picek

CoRR, February, 2025

LD-PA: Distilling Univariate Leakage for Deep Learning-Based Profiling Attacks.

Chong Xiao, Ming Tang, Sengim Karayalcin, Wei Cheng

IEEE Trans. Inf. Forensics Secur., 2025

Enhancing Scale and Shift Invariance in Deep Learning-based Side-channel Attacks through Equivariant Convolutional Neural Networks.

David Perez, Sengim Karayalcin, Stjepan Picek, Servio Paguada

IACR Cryptol. ePrint Arch., 2025

SoK: Deep Learning-based Side-channel Analysis Trends and Challenges.

Sengim Karayalcin, Marina Krcek, Stjepan Picek

IACR Cryptol. ePrint Arch., 2025

A Practical Tutorial on Deep Learning-based Side-channel Analysis.

Sengim Karayalcin, Marina Krcek, Stjepan Picek

IACR Cryptol. ePrint Arch., 2025

2024

Can KANs Do It? Toward Interpretable Deep Learning-based Side-channel Analysis.

Kota Yoshida, Sengim Karayalcin, Stjepan Picek

IACR Cryptol. ePrint Arch., 2024

Diffuse Some Noise: Diffusion Models for Measurement Noise Removal in Side-channel Analysis.

Sengim Karayalcin, Guilherme Perin, Stjepan Picek

IACR Cryptol. ePrint Arch., 2024

It's a Kind of Magic: A Novel Conditional GAN Framework for Efficient Profiling Side-Channel Analysis.

Sengim Karayalcin, Marina Krcek, Lichao Wu, Stjepan Picek, Guilherme Perin

Proceedings of the Advances in Cryptology - ASIACRYPT 2024, 2024

2022

Resolving the Doubts: On the Construction and Use of ResNets for Side-channel Analysis.

Sengim Karayalcin, Stjepan Picek

IACR Cryptol. ePrint Arch., 2022