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2020 – today
- 2024
[j3]Lichao Wu
, Yoo-Seung Won, Dirmanto Jap, Guilherme Perin, Shivam Bhasin, Stjepan Picek:
Ablation Analysis for Multi-Device Deep Learning-Based Physical Side-Channel Analysis. IEEE Trans. Dependable Secur. Comput. 21(3): 1331-1341 (2024)- 2021
- [j2]Yoo-Seung Won, Dong-Guk Han, Dirmanto Jap, Shivam Bhasin, Jong-Yeon Park:
Non-Profiled Side-Channel Attack Based on Deep Learning Using Picture Trace. IEEE Access 9: 22480-22492 (2021) - [j1]Yoo-Seung Won, Xiaolu Hou, Dirmanto Jap, Jakub Breier, Shivam Bhasin:
Back to the Basics: Seamless Integration of Side-Channel Pre-Processing in Deep Neural Networks. IEEE Trans. Inf. Forensics Secur. 16: 3215-3227 (2021) - [c10]Yoo-Seung Won, Soham Chatterjee, Dirmanto Jap, Arindam Basu, Shivam Bhasin:
WaC: First Results on Practical Side-Channel Attacks on Commercial Machine Learning Accelerator. ASHES@CCS 2021: 111-114 - [c9]Dirmanto Jap, Yoo-Seung Won, Shivam Bhasin:
Fault injection attacks on SoftMax function in deep neural networks. CF 2021: 238-240 - [c8]Yoo-Seung Won, Soham Chatterjee, Dirmanto Jap, Shivam Bhasin, Arindam Basu:
Time to Leak: Cross-Device Timing Attack On Edge Deep Learning Accelerator. ICEIC 2021: 1-4 - [c7]Yoo-Seung Won, Shivam Bhasin:
Are Cold Boot Attacks Still Feasible: A Case Study on Raspberry Pi With Stacked Memory. FDTC 2021: 56-60 - [c6]Yoo-Seung Won, Soham Chatterjee, Dirmanto Jap, Arindam Basu, Shivam Bhasin:
DeepFreeze: Cold Boot Attacks and High Fidelity Model Recovery on Commercial EdgeML Device. ICCAD 2021: 1-9 - [c5]Yoo-Seung Won, Shivam Bhasin:
A Systematic Side-Channel Evaluation of Black Box AES in Secure MCU: Architecture Recovery and Retrieval of PUF Based Secret Key. ISCAS 2021: 1-5 - [i6]Yoo-Seung Won, Soham Chatterjee, Dirmanto Jap, Arindam Basu, Shivam Bhasin:
DeepFreeze: Cold Boot Attacks and High Fidelity Model Recovery on Commercial EdgeML Device. CoRR abs/2108.01281 (2021) - [i5]Lichao Wu, Yoo-Seung Won, Dirmanto Jap, Guilherme Perin, Shivam Bhasin, Stjepan Picek:
Explain Some Noise: Ablation Analysis for Deep Learning-based Physical Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 717 (2021) - 2020
- [c4]Yoo-Seung Won, Dirmanto Jap, Shivam Bhasin:
Push for More: On Comparison of Data Augmentation and SMOTE with Optimised Deep Learning Architecture for Side-Channel. WISA 2020: 227-241 - [i4]Yoo-Seung Won, Dirmanto Jap, Shivam Bhasin:
Push For More: On Comparison of Data Augmentation and SMOTE With Optimised Deep Learning Architecture For Side-Channel. IACR Cryptol. ePrint Arch. 2020: 655 (2020) - [i3]Yoo-Seung Won, Xiaolu Hou, Dirmanto Jap, Jakub Breier, Shivam Bhasin:
Back To The Basics: Seamless Integration of Side-Channel Pre-processing in Deep Neural Networks. IACR Cryptol. ePrint Arch. 2020: 1134 (2020)
2010 – 2019
- 2019
- [i2]Yoo-Seung Won, Jong-Yeon Park:
Non-Profiled Side Channel Attack based on Deep learning using Picture Trace. IACR Cryptol. ePrint Arch. 2019: 1242 (2019) - 2017
- [c3]Yoo-Seung Won, Dong-Guk Han:
Efficient Conversion Method from Arithmetic to Boolean Masking in Constrained Devices. COSADE 2017: 120-137 - [c2]Yoo-Seung Won, Aesun Park, Dong-Guk Han:
Novel Leakage Against Realistic Masking and Shuffling Countermeasures - Case Study on PRINCE and SEED. ICISC 2017: 139-154 - 2016
- [i1]Yoo-Seung Won, Dong-Guk Han:
Efficient Conversion Method from Arithmetic to Boolean Masking in Constrained Devices. IACR Cryptol. ePrint Arch. 2016: 664 (2016) - 2015
- [c1]Yoo-Seung Won, Philip Hodgers, Máire O'Neill, Dong-Guk Han:
On the Security of Balanced Encoding Countermeasures. CARDIS 2015: 242-256
Coauthor Index
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