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Yoo-Seung Won
Yoo-Seung Won
Nanyang Technological University Scientist Researcher
Verified email at kookmin.ac.kr
Title
Cited by
Cited by
Year
Non-profiled side-channel attack based on deep learning using picture trace
YS Won, DG Han, D Jap, S Bhasin, JY Park
IEEE Access 9, 22480-22492, 2021
232021
Back to the basics: Seamless integration of side-channel pre-processing in deep neural networks
YS Won, X Hou, D Jap, J Breier, S Bhasin
IEEE Transactions on Information Forensics and Security 16, 3215-3227, 2021
212021
Practical cold boot attack on iot device-case study on raspberry pi
YS Won, JY Park, DG Han, S Bhasin
2020 IEEE International Symposium on the Physical and Failure Analysis of …, 2020
142020
Time to leak: Cross-device timing attack on edge deep learning accelerator
YS Won, S Chatterjee, D Jap, S Bhasin, A Basu
2021 International Conference on Electronics, Information, and Communication …, 2021
112021
Push for more: On comparison of data augmentation and SMOTE with optimised deep learning architecture for side-channel
YS Won, D Jap, S Bhasin
Information Security Applications: 21st International Conference, WISA 2020 …, 2020
102020
Side channel attacks on LEA and its countermeasures
JH Park, TJ Kim, HJ An, YS Won, DG Han
Journal of The Korea Institute of Information Security & Cryptology 25 (2 …, 2015
102015
Fault injection attacks on SoftMax function in deep neural networks
D Jap, YS Won, S Bhasin
Proceedings of the 18th ACM International Conference on Computing Frontiers …, 2021
92021
Efficient conversion method from arithmetic to Boolean masking in constrained devices
YS Won, DG Han
International Workshop on Constructive Side-Channel Analysis and Secure …, 2017
92017
The effect of eight-shuffling AES implementations techniques against side channel analysis
SS Baek, YS Won, DG Han, JC Ryou
Indian Journal of Science and Technology 8, 91, 2015
92015
WaC: First results on practical side-channel attacks on commercial machine learning accelerator
YS Won, S Chatterjee, D Jap, A Basu, S Bhasin
Proceedings of the 5th Workshop on Attacks and Solutions in Hardware …, 2021
72021
Explain Some Noise: Ablation Analysis for Deep Learning-based Physical Side-channel Analysis.
L Wu, YS Won, D Jap, G Perin, S Bhasin, S Picek
IACR Cryptol. ePrint Arch. 2021, 717, 2021
72021
Deepfreeze: Cold boot attacks and high fidelity model recovery on commercial edgeml device
YS Won, S Chatterjee, D Jap, A Basu, S Bhasin
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
62021
Key schedule against template attack-based simple power analysis on a single target
YS Won, BY Sim, JY Park
Applied Sciences 10 (11), 3804, 2020
62020
On the security of balanced encoding countermeasures
YS Won, P Hodgers, M O’Neill, DG Han
Smart Card Research and Advanced Applications: 14th International Conference …, 2016
62016
Study for improving attack complexity against RSA collision analysis
BY Sim, YS Won, DG Han
Journal of the Korea Institute of Information Security & Cryptology 25 (2 …, 2015
52015
Side Channel Attacks on HIGHT and Its Countermeasures
T Kim, Y Won, J Park, H An, D Han
Journal of the Korea Institute of Information Security & Cryptology 25 (2 …, 2015
52015
Dirmanto Jap, and Shivam Bhasin. Push for more: On comparison of data augmentation and smote with optimised deep learning architecture for side-channel
YS Won
Information Security Applications, 227-241, 0
5
On use of deep learning for side channel evaluation of black box hardware aes engine
YS Won, S Bhasin
International Conference on Industrial Networks and Intelligent Systems, 185-194, 2021
42021
Dirmanto Jap, Guilherme Perin, Shivam Bhasin, and Stjepan Picek. Explain some noise: Ablation analysis for deep learning-based physical side-channel analysis
L Wu, YS Won
IACR Cryptol. ePrint Arch 2021, 717, 2021
42021
Non-profiled side channel attack based on deep learning using picture trace
JY Park, DG Han, D Jap, S Bhasin, YS Won
Cryptology ePrint Archive, 2019
42019
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