Sengim Karayalcin

According to our database, Sengim Karayalcin authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

MASCing: Configurable Mixture-of-Experts Behavior via Activation Steering Masks.

Jona te Lintelo, Lichao Wu, Marina Krcek, Sengim Karayalcin, Stjepan Picek

CoRR, April, 2026

Backdoor Directions in Vision Transformers.

Sengim Karayalcin, Marina Krcek, Pin-Yu Chen, Stjepan Picek

CoRR, March, 2026

I Know What Your Layers Did: Layer-wise Explainability of Deep Learning Side-channel Analysis.

Guilherme Perin, Sengim Karayalcin, Lichao Wu, Stjepan Picek

IACR Commun. Cryptol., 2026

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

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

Sengim Karayalcin, Guilherme Perin, Stjepan Picek

Proceedings of the Selected Areas in Cryptography - SAC 2025, 2025

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

Sengim Karayalcin, Marina Krcek, Stjepan Picek

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Can KANs Do It? Toward Interpretable Deep Learning-Based Side-Channel Analysis.

Kota Yoshida, Sengim Karayalcin, Stjepan Picek

Proceedings of the Applied Cryptography and Network Security Workshops, 2025

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