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ORCIDHyoungshick Kim
- > Home > Persons > Hyoungshick Kim
Publications
- 2023
[c136]Seonhye Park
, Alsharif Abuadbba, Shuo Wang, Kristen Moore, Yansong Gao, Hyoungshick Kim, Surya Nepal:
DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks. ACSAC 2023: 535-549- 2022
- [j49]Yansong Gao, Minki Kim, Chandra Thapa, Alsharif Abuadbba, Zhi Zhang, Seyit Camtepe, Hyoungshick Kim, Surya Nepal:
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things. IEEE Trans. Computers 71(10): 2538-2552 (2022) - [j48]Yansong Gao, Yeonjae Kim, Bao Gia Doan, Zhi Zhang, Gongxuan Zhang, Surya Nepal, Damith C. Ranasinghe, Hyoungshick Kim:
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks. IEEE Trans. Dependable Secur. Comput. 19(4): 2349-2364 (2022) - [i22]Hua Ma, Yinshan Li, Yansong Gao, Alsharif Abuadbba, Zhi Zhang, Anmin Fu, Hyoungshick Kim, Said F. Al-Sarawi, Surya Nepal, Derek Abbott:
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World. CoRR abs/2201.08619 (2022) - [i20]Yansong Gao, Jianrong Yao, Lihui Pang, Zhi Zhang, Anmin Fu, Naixue Xiong, Hyoungshick Kim:
Systematically Evaluation of Challenge Obfuscated APUFs. CoRR abs/2203.15316 (2022) - [i19]Seonhye Park, Alsharif Abuadbba, Shuo Wang, Kristen Moore, Yansong Gao, Hyoungshick Kim, Surya Nepal:
Tracking Dataset IP Use in Deep Neural Networks. CoRR abs/2211.13535 (2022) - 2021
- [j45]Lihui Pang, Hyoungshick Kim, Bin Yang, Xinlin Wang, Yansong Gao:
Security Evaluation of n-Choose-k-Sum PUFs Against Modeling Attacks. IEEE Access 9: 168193-168206 (2021) - [c123]Bedeuro Kim, Alsharif Abuadbba, Yansong Gao, Yifeng Zheng, Muhammad Ejaz Ahmed, Surya Nepal, Hyoungshick Kim:
Decamouflage: A Framework to Detect Image-Scaling Attacks on CNN. DSN 2021: 63-74 - [i16]Yansong Gao, Minki Kim, Chandra Thapa, Sharif Abuadbba, Zhi Zhang, Seyit Ahmet Çamtepe, Hyoungshick Kim, Surya Nepal:
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things. CoRR abs/2103.02762 (2021) - [i14]Jihyeon Ryu, Yifeng Zheng, Yansong Gao, Sharif Abuadbba, Junyaup Kim, Dongho Won, Surya Nepal, Hyoungshick Kim, Cong Wang:
Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things? CoRR abs/2104.03813 (2021) - 2020
- [c113]Sharif Abuadbba, Kyuyeon Kim, Minki Kim, Chandra Thapa, Seyit Ahmet Çamtepe, Yansong Gao, Hyoungshick Kim, Surya Nepal:
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? AsiaCCS 2020: 305-318 - [c107]Yansong Gao, Minki Kim, Sharif Abuadbba, Yeonjae Kim, Chandra Thapa, Kyuyeon Kim, Seyit Ahmet Çamtepe, Hyoungshick Kim, Surya Nepal:
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things. SRDS 2020: 91-100 - [i13]Sharif Abuadbba, Kyuyeon Kim, Minki Kim, Chandra Thapa, Seyit Ahmet Çamtepe, Yansong Gao, Hyoungshick Kim, Surya Nepal:
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? CoRR abs/2003.12365 (2020) - [i12]Yansong Gao, Minki Kim, Sharif Abuadbba, Yeonjae Kim, Chandra Thapa, Kyuyeon Kim, Seyit Ahmet Çamtepe, Hyoungshick Kim, Surya Nepal:
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things. CoRR abs/2003.13376 (2020) - [i9]Yansong Gao, Bao Gia Doan, Zhi Zhang, Siqi Ma, Jiliang Zhang, Anmin Fu, Surya Nepal, Hyoungshick Kim:
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review. CoRR abs/2007.10760 (2020) - [i8]Bedeuro Kim, Alsharif Abuadbba, Yansong Gao, Yifeng Zheng, Muhammad Ejaz Ahmed, Hyoungshick Kim, Surya Nepal:
Decamouflage: A Framework to Detect Image-Scaling Attacks on Convolutional Neural Networks. CoRR abs/2010.03735 (2020) - 2019
- [i5]Yansong Gao, Yeonjae Kim, Bao Gia Doan, Zhi Zhang, Gongxuan Zhang, Surya Nepal, Damith Chinthana Ranasinghe, Hyoungshick Kim:
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks. CoRR abs/1911.10312 (2019)
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