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ORCIDHyun Kwon
Person information
- affiliation: Korea Military Academy, Department of Artificial Intelligence and Data Science, Seoul, Republic of Korea
- affiliation (PhD 2020): KAIST, Yuseong-gu, Daejeon, South Korea
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2020 – today
- 2024
[j41]Hyun Kwon
, Jun Lee:
AdvGuard: Fortifying Deep Neural Networks Against Optimized Adversarial Example Attack. IEEE Access 12: 5345-5356 (2024)- [j40]Hyun Kwon:
AudioGuard: Speech Recognition System Robust against Optimized Audio Adversarial Examples. Multim. Tools Appl. 83(20): 57943-57962 (2024) - 2023
- [j39]Hyun Kwon:
Dual-Targeted Textfooler Attack on Text Classification Systems. IEEE Access 11: 15164-15173 (2023) - [j38]Yongrae Kim, Hyunmin Gwak, Jaehoon Oh, Minho Kang, Jinkyu Kim, Hyun Kwon, Sunghwan Kim:
CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is Robust Against Light Variation. IEEE Access 11: 16984-16993 (2023) - [j37]Hyun Kwon, Sanghyun Lee:
Detecting textual adversarial examples through text modification on text classification systems. Appl. Intell. 53(16): 19161-19185 (2023) - [j36]Hyun Kwon, Sanghyun Lee:
Erratum to 'Ensemble transfer attack targeting text classification systems' [Computers & Security 117 (2022) 1-8/ 102695]. Comput. Secur. 124: 102944 (2023) - [j35]Hyun Kwon, Seung-Hun Nam:
Audio adversarial detection through classification score on speech recognition systems. Comput. Secur. 126: 103061 (2023) - [j34]Kyoungmin Ko, Sunghwan Kim, Hyun Kwon:
Multi-targeted audio adversarial example for use against speech recognition systems. Comput. Secur. 128: 103168 (2023) - [j33]Hyun Kwon:
Toward Selective Adversarial Attack for Gait Recognition Systems Based on Deep Neural Network. IEICE Trans. Inf. Syst. 106(2): 262-266 (2023) - [j32]Hyun Kwon:
Adversarial image perturbations with distortions weighted by color on deep neural networks. Multim. Tools Appl. 82(9): 13779-13795 (2023) - 2022
- [j31]Hyun Kwon, Kyoungmin Ko, Sunghwan Kim:
Optimized Adversarial Example With Classification Score Pattern Vulnerability Removed. IEEE Access 10: 35804-35813 (2022) - [j30]Hyun Kwon, Sanghyun Lee:
Ensemble transfer attack targeting text classification systems. Comput. Secur. 117: 102695 (2022) - [j29]Hyun Kwon:
Multi-Model Selective Backdoor Attack with Different Trigger Positions. IEICE Trans. Inf. Syst. 105-D(1): 170-174 (2022) - [j28]Hyun Kwon, Changhyun Cho, Jun Lee:
Priority Evasion Attack: An Adversarial Example That Considers the Priority of Attack on Each Classifier. IEICE Trans. Inf. Syst. 105-D(11): 1880-1889 (2022) - [j27]Hyun Kwon, Yongchul Kim:
Toward Selective Membership Inference Attack against Deep Learning Model. IEICE Trans. Inf. Syst. 105-D(11): 1911-1915 (2022) - [j26]Hyun Kwon, Sunghwan Cho:
Multi-Targeted Poisoning Attack in Deep Neural Networks. IEICE Trans. Inf. Syst. 105-D(11): 1916-1920 (2022) - [j25]Hyun Kwon, Sanghyun Lee:
Friend-guard adversarial noise designed for electroencephalogram-based brain-computer interface spellers. Neurocomputing 506: 184-195 (2022) - [j24]Hyun Kwon, Jongwook Jeong:
AdvU-Net: Generating Adversarial Example Based on Medical Image and Targeting U-Net Model. J. Sensors 2022: 1-13 (2022) - [j23]Hyun Kwon, Yongchul Kim:
BlindNet backdoor: Attack on deep neural network using blind watermark. Multim. Tools Appl. 81(5): 6217-6234 (2022) - [j22]Minsoo Lee, Hyun Kwon, Hyunsoo Yoon:
Compliance-Driven Cybersecurity Planning Based on Formalized Attack Patterns for Instrumentation and Control Systems of Nuclear Power Plants. Secur. Commun. Networks 2022: 4714899:1-4714899:13 (2022) - 2021
- [j21]Hyun Kwon, Hyunsoo Yoon, Daeseon Choi:
Data Correction For Enhancing Classification Accuracy By Unknown Deep Neural Network Classifiers. KSII Trans. Internet Inf. Syst. 15(9): 3243-3257 (2021) - [j20]Kyoungmin Ko, Hyunmin Gwak, Nalinh Thoummala, Hyun Kwon, Sunghwan Kim:
SqueezeFace: Integrative Face Recognition Methods with LiDAR Sensors. J. Sensors 2021: 1-8 (2021) - [j19]Hyun Kwon, Jang-Woon Baek:
Adv-Plate Attack: Adversarially Perturbed Plate for License Plate Recognition System. J. Sensors 2021: 1-10 (2021) - [j18]Hyun Kwon, Yongchul Kim, Hyunsoo Yoon, Daeseon Choi:
Classification score approach for detecting adversarial example in deep neural network. Multim. Tools Appl. 80(7): 10339-10360 (2021) - [j17]Hyun Kwon:
MedicalGuard: U-Net Model Robust against Adversarially Perturbed Images. Secur. Commun. Networks 2021: 5595026:1-5595026:8 (2021) - [j16]Hyun Kwon, Jun Lee:
Diversity Adversarial Training against Adversarial Attack on Deep Neural Networks. Symmetry 13(3): 428 (2021) - [c12]Ravikumar V. Chakaravarthy, Hyun Kwon, Hua Jiang:
Vision Control Unit in Fully Self Driving Vehicles using Xilinx MPSoC and Opensource Stack. ASP-DAC 2021: 311-317 - 2020
- [j15]Hyun Kwon:
Detecting Backdoor Attacks via Class Difference in Deep Neural Networks. IEEE Access 8: 191049-191056 (2020) - [j14]Hyun Kwon, Hyunsoo Yoon, Ki-Woong Park:
Robust CAPTCHA Image Generation Enhanced with Adversarial Example Methods. IEICE Trans. Inf. Syst. 103-D(4): 879-882 (2020) - [j13]Hyun Kwon, Hyunsoo Yoon, Ki-Woong Park:
Multi-Targeted Backdoor: Indentifying Backdoor Attack for Multiple Deep Neural Networks. IEICE Trans. Inf. Syst. 103-D(4): 883-887 (2020) - [j12]Hyun Kwon, Hyunsoo Yoon, Ki-Woong Park:
Acoustic-decoy: Detection of adversarial examples through audio modification on speech recognition system. Neurocomputing 417: 357-370 (2020) - [j11]Hyun Kwon, Hyunsoo Yoon, Ki-Woong Park:
CAPTCHA Image Generation: Two-Step Style-Transfer Learning in Deep Neural Networks. Sensors 20(5): 1495 (2020) - [j10]Hyun Kwon, Yongchul Kim, Hyunsoo Yoon, Daeseon Choi:
Selective Audio Adversarial Example in Evasion Attack on Speech Recognition System. IEEE Trans. Inf. Forensics Secur. 15: 526-538 (2020) - [c11]Hyun Kwon, Jungmin Roh, Hyunsoo Yoon, Ki-Woong Park:
TargetNet Backdoor: Attack on Deep Neural Network with Use of Different Triggers. ICIIT 2020: 140-145 - [c10]Hyun Kwon, Hyunsoo Yoon, Ki-Woong Park:
FriendNet Backdoor: Indentifying Backdoor Attack that is safe for Friendly Deep Neural Network. ICSIM 2020: 53-57
2010 – 2019
- 2019
- [j9]Hyun Kwon, Hyunsoo Yoon, Daeseon Choi:
Restricted Evasion Attack: Generation of Restricted-Area Adversarial Example. IEEE Access 7: 60908-60919 (2019) - [j8]Hyun Kwon, Yongchul Kim, Hyunsoo Yoon, Daeseon Choi:
Selective Untargeted Evasion Attack: An Adversarial Example That Will Not Be Classified as Certain Avoided Classes. IEEE Access 7: 73493-73503 (2019) - [j7]Ohmin Kwon, Hyun Kwon, Hyunsoo Yoon:
Rootkit inside GPU Kernel Execution. IEICE Trans. Inf. Syst. 102-D(11): 2261-2264 (2019) - [j6]Hyun Kwon, Hyunsoo Yoon, Ki-Woong Park:
Selective Poisoning Attack on Deep Neural Networks †. Symmetry 11(7): 892 (2019) - [c9]Hyun Kwon, Hyunsoo Yoon, Ki-Woong Park:
Selective Poisoning Attack on Deep Neural Network to Induce Fine-Grained Recognition Error. AIKE 2019: 136-139 - [c8]Hyun Kwon, Hyunsoo Yoon, Ki-Woong Park:
POSTER: Detecting Audio Adversarial Example through Audio Modification. CCS 2019: 2521-2523 - [c7]Hyun Kwon, Hyunsoo Yoon, Daeseon Choi:
Priority Adversarial Example in Evasion Attack on Multiple Deep Neural Networks. ICAIIC 2019: 399-404 - [c6]Hyun Kwon, Ohmin Kwon, Hyunsoo Yoon, Ki-Woong Park:
Face Friend-Safe Adversarial Example on Face Recognition System. ICUFN 2019: 547-551 - [c5]Hyun Kwon, Hyunsoo Yoon, Ki-Woong Park:
CAPTCHA Image Generation Using Style Transfer Learning in Deep Neural Network. WISA 2019: 234-246 - 2018
- [j5]Hyun Kwon, Yongchul Kim, Ki-Woong Park, Hyunsoo Yoon, Daeseon Choi:
Multi-Targeted Adversarial Example in Evasion Attack on Deep Neural Network. IEEE Access 6: 46084-46096 (2018) - [j4]Hyun Kwon, Yongchul Kim, Ki-Woong Park, Hyunsoo Yoon, Daeseon Choi:
Friend-safe evasion attack: An adversarial example that is correctly recognized by a friendly classifier. Comput. Secur. 78: 380-397 (2018) - [j3]Hyun Kwon, Yongchul Kim, Hyunsoo Yoon, Daeseon Choi:
CAPTCHA Image Generation Systems Using Generative Adversarial Networks. IEICE Trans. Inf. Syst. 101-D(2): 543-546 (2018) - [j2]Hyun Kwon, Yongchul Kim, Ki-Woong Park, Hyunsoo Yoon, Daeseon Choi:
Advanced Ensemble Adversarial Example on Unknown Deep Neural Network Classifiers. IEICE Trans. Inf. Syst. 101-D(10): 2485-2500 (2018) - [j1]Hyun Kwon, Yongchul Kim, Hyunsoo Yoon, Daeseon Choi:
Random Untargeted Adversarial Example on Deep Neural Network. Symmetry 10(12): 738 (2018) - [c4]Hyun Kwon, Hyunsoo Yoon, Daeseon Choi:
POSTER: Zero-Day Evasion Attack Analysis on Race between Attack and Defense. AsiaCCS 2018: 805-807 - [c3]Hyun Kwon, Yongchul Kim, Hyunsoo Yoon, Daeseon Choi:
Fooling a Neural Network in Military Environments: Random Untargeted Adversarial Example. MILCOM 2018: 456-461 - [c2]Hyun Kwon, Yongchul Kim, Hyunsoo Yoon, Daeseon Choi:
One-Pixel Adversarial Example that Is Safe for Friendly Deep Neural Networks. WISA 2018: 42-54 - 2017
- [c1]Hyun Kwon, Hyunsoo Yoon, Daeseon Choi:
Friend-Safe Adversarial Examples in an Evasion Attack on a Deep Neural Network. ICISC 2017: 351-367
Coauthor Index
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last updated on 2024-08-05 20:13 CEST by the dblp team
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