Sengim Karayalcin

PhD student, LIACS, Leiden University, Leiden University

Joined

January 2025

Names

Sengim Karayalcin (Preferred)

Emails

****@liacs.leidenuniv.nl (Confirmed)

Personal Links

Career & Education History

PhD student

LIACS, Leiden University, Leiden University (liacs.leidenuniv.nl)

2023 – Present

MS student

EECSM, Delft University of Technology (student.tudelft.nl)

2020 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Stjepan Picek

2024 – Present

PhD Advisor

Marina Krček

2024 – Present

PhD Advisor

Guilherme Perin

2023 – 2024

Expertise

Side-channel analysis

2023 – Present

Publications

Interpreting Emergent Features in Deep Learning-based Side-channel Analysis
Sengim Karayalcin, Marina Krček, Stjepan Picek
- NeurIPS 2025 poster
- Readers: Everyone
It's Not Just a Phase: On Investigating Phase Transitions in Deep Learning-based Side-channel Analysis
Sengim Karayalcin, Marina Krček, Stjepan Picek
- Submitted to ICML 2025
- Readers: Everyone
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
- Readers: Everyone
Diffuse Some Noise: Diffusion Models for Measurement Noise Removal in Side-channel Analysis
Sengim Karayalcin, Guilherme Perin, Stjepan Picek
- IACR Cryptol. ePrint Arch. 2024
- Readers: Everyone
Can KANs Do It? Toward Interpretable Deep Learning-based Side-channel Analysis
Kota Yoshida, Sengim Karayalcin, Stjepan Picek
- IACR Cryptol. ePrint Arch. 2024
- Readers: Everyone
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
- ASIACRYPT (8) 2024
- Readers: Everyone
Resolving the Doubts: On the Construction and Use of ResNets for Side-channel Analysis
Sengim Karayalcin, Stjepan Picek
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- IACR Cryptol. ePrint Arch. 2022
- Readers: Everyone

Sengim Karayalcin

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Interpreting Emergent Features in Deep Learning-based Side-channel Analysis

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

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

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

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

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

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

Co-Authors