Yoo-Seung Won

According to our database, Yoo-Seung Won authored at least 15 papers between 2015 and 2024.

Collaborative distances:

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

2024

Ablation Analysis for Multi-Device Deep Learning-Based Physical Side-Channel Analysis.

Lichao Wu, Yoo-Seung Won, Dirmanto Jap, Guilherme Perin, Shivam Bhasin, Stjepan Picek

IEEE Trans. Dependable Secur. Comput., 2024

2021

Back to the Basics: Seamless Integration of Side-Channel Pre-Processing in Deep Neural Networks.

Yoo-Seung Won, Xiaolu Hou, Dirmanto Jap, Jakub Breier, Shivam Bhasin

IEEE Trans. Inf. Forensics Secur., 2021

Explain Some Noise: Ablation Analysis for Deep Learning-based Physical Side-channel Analysis.

Lichao Wu, Yoo-Seung Won, Dirmanto Jap, Guilherme Perin, Shivam Bhasin, Stjepan Picek

IACR Cryptol. ePrint Arch., 2021

Non-Profiled Side-Channel Attack Based on Deep Learning Using Picture Trace.

Yoo-Seung Won, Dong-Guk Han, Dirmanto Jap, Shivam Bhasin, Jong-Yeon Park

IEEE Access, 2021

A Systematic Side-Channel Evaluation of Black Box AES in Secure MCU: Architecture Recovery and Retrieval of PUF Based Secret Key.

Yoo-Seung Won, Shivam Bhasin

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

DeepFreeze: Cold Boot Attacks and High Fidelity Model Recovery on Commercial EdgeML Device.

Yoo-Seung Won, Soham Chatterjee, Dirmanto Jap, Arindam Basu, Shivam Bhasin

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Are Cold Boot Attacks Still Feasible: A Case Study on Raspberry Pi With Stacked Memory.

Yoo-Seung Won, Shivam Bhasin

Proceedings of the 18th Workshop on Fault Detection and Tolerance in Cryptography, 2021

Time to Leak: Cross-Device Timing Attack On Edge Deep Learning Accelerator.

Yoo-Seung Won, Soham Chatterjee, Dirmanto Jap, Shivam Bhasin, Arindam Basu

Proceedings of the International Conference on Electronics, Information, and Communication, 2021

Fault injection attacks on SoftMax function in deep neural networks.

Dirmanto Jap, Yoo-Seung Won, Shivam Bhasin

Proceedings of the CF '21: Computing Frontiers Conference, 2021

WaC: First Results on Practical Side-Channel Attacks on Commercial Machine Learning Accelerator.

Yoo-Seung Won, Soham Chatterjee, Dirmanto Jap, Arindam Basu, Shivam Bhasin

Proceedings of the ASHES@CCS 2021: Proceedings of the 5th Workshop on Attacks and Solutions in Hardware Security, 2021

2020

Push For More: On Comparison of Data Augmentation and SMOTE With Optimised Deep Learning Architecture For Side-Channel.

Yoo-Seung Won, Dirmanto Jap, Shivam Bhasin

IACR Cryptol. ePrint Arch., 2020

2019

Non-Profiled Side Channel Attack based on Deep learning using Picture Trace.

Yoo-Seung Won, Jong-Yeon Park

IACR Cryptol. ePrint Arch., 2019

2017

Novel Leakage Against Realistic Masking and Shuffling Countermeasures - Case Study on PRINCE and SEED.

Yoo-Seung Won, Aesun Park, Dong-Guk Han

Proceedings of the Information Security and Cryptology - ICISC 2017 - 20th International Conference, Seoul, South Korea, November 29, 2017

2016

Efficient Conversion Method from Arithmetic to Boolean Masking in Constrained Devices.

Yoo-Seung Won, Dong-Guk Han

IACR Cryptol. ePrint Arch., 2016

2015

On the Security of Balanced Encoding Countermeasures.

Yoo-Seung Won, Philip Hodgers, Máire O'Neill, Dong-Guk Han

Proceedings of the Smart Card Research and Advanced Applications, 2015