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SeokHwan Choi
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2020 – today
- 2023
- [j12]Tae-Hoon Kim, SeokHwan Choi, Yoon-Ho Choi:
Instance-Agnostic and Practical Clean Label Backdoor Attack Method for Deep Learning Based Face Recognition Models. IEEE Access 11: 144040-144050 (2023) - [j11]SeokHwan Choi, Jin-Myeong Shin, Yoon-Ho Choi:
PIHA: Detection method using perceptual image hashing against query-based adversarial attacks. Future Gener. Comput. Syst. 145: 563-577 (2023) - 2022
- [j10]SeonJin Hwang, SeokHwan Choi, Jin-Myeong Shin, Yoon-Ho Choi:
CodeNet: Code-Targeted Convolutional Neural Network Architecture for Smart Contract Vulnerability Detection. IEEE Access 10: 32595-32607 (2022) - [j9]SeokHwan Choi, Jin-Myeong Shin, Peng Liu, Yoon-Ho Choi:
ARGAN: Adversarially Robust Generative Adversarial Networks for Deep Neural Networks Against Adversarial Examples. IEEE Access 10: 33602-33615 (2022) - [j8]SeokHwan Choi, Tae-u Bahk, Sungyong Ahn, Yoon-Ho Choi:
Clustering Approach for Detecting Multiple Types of Adversarial Examples. Sensors 22(10): 3826 (2022) - 2021
- [j7]Jin-Myeong Shin, SeokHwan Choi, Yoon-Ho Choi:
Is Homomorphic Encryption-Based Deep Learning Secure Enough? Sensors 21(23): 7806 (2021) - [j6]SeokHwan Choi, Jin-Myeong Shin, Peng Liu, Yoon-Ho Choi:
EEJE: Two-Step Input Transformation for Robust DNN Against Adversarial Examples. IEEE Trans. Netw. Sci. Eng. 8(2): 908-920 (2021) - 2020
- [j5]DongHyun Ko, SeokHwan Choi, Jin-Myeong Shin, Peng Liu, Yoon-Ho Choi:
Structural Image De-Identification for Privacy-Preserving Deep Learning. IEEE Access 8: 119848-119862 (2020) - [j4]DongHyun Ko, SeokHwan Choi, Sungyong Ahn, Yoon-Ho Choi:
Robust Indoor Localization Methods Using Random Forest-Based Filter against MAC Spoofing Attack. Sensors 20(23): 6756 (2020)
2010 – 2019
- 2019
- [j3]Jin-Myeong Shin, SeokHwan Choi, Peng Liu, Yoon-Ho Choi:
Unsupervised multi-stage attack detection framework without details on single-stage attacks. Future Gener. Comput. Syst. 100: 811-825 (2019) - [j2]SeokHwan Choi, Jin-Myeong Shin, Yoon-Ho Choi:
Dynamic Nonparametric Random Forest Using Covariance. Secur. Commun. Networks 2019: 3984031:1-3984031:12 (2019) - [c5]SeokHwan Choi, Jin-Myeong Shin, Peng Liu, Yoon-Ho Choi:
Robustness Analysis of CNN-based Malware Family Classification Methods Against Various Adversarial Attacks. CNS 2019: 1-6 - 2018
- [j1]Doo-Hee Hwang, SeokHwan Choi, Jin-Myeong Shin, Giltae Song, Yoon-Ho Choi:
Privacy-Preserving Compressed Reference-Oriented Alignment Map Using Decentralized Storage. IEEE Access 6: 45990-46001 (2018) - [c4]SeokHwan Choi, DongHyun Ko, SeonJin Hwang, Yoon-Ho Choi:
Memory-Efficient Random Forest Generation Method for Network Intrusion Detection. ICUFN 2018: 305-307 - 2017
- [c3]SeokHwan Choi, Doo-Hee Hwang, Yoon-Ho Choi:
Wireless intrusion prevention system using dynamic random forest against wireless MAC spoofing attack. DSC 2017: 131-137 - 2016
- [c2]Yoon-Ho Choi, WooJin Park, SeokHwan Choi, Seung-Woo Seo:
STEAL: Service Time-Aware Load balancer on many-core processors for fast intrusion detection. INFOCOM Workshops 2016: 65-70 - 2015
- [c1]SeokHwan Choi, Da-Hyeon Kim, Yoon-Ho Choi:
Timely login status control using mobile app. CNS 2015: 743-744
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