Hoki Kim
Assistant Professor at Industrial Security,
Chuang-Ang University, South Korea.
B.S. and Ph.D. degrees at Seoul National University, South Korea.
Research Interests. As artificial intelligence (AI) continues to drive innovation across a wide range of industries in the context of the fourth industry revolution, Trustworthy AI (or Safe AI) plays a pivotal role in ensuring the reliability and safety of AI systems and mitigating potential risks. As a researcher in machine learning and deep learning, I am currently focused on developing trustworthy AI models with the following topics:
- Adversarial robustness: adversarial attack and defense [NeurIPS 2023, Top AI Conf.; EAAI 2024, IF Top 5%; AAAI 2021, Top AI Conf.; NeuNet, IF Top 10%;]
- Generalization: domain adaptation [PR, IF Q1], sharpness-aware minimization [ICML 2023, Top AI Conf.]
- Industrial Applications: audio classification [PR, IF Q1], time series forecasting [ASOC, IF Q1]
Research Experience.
- Projects with Samsung Electronics, Incheon Airport, and the Ministry of Science and ICT (MSIT), etc.
- Reviewer in NeurIPS, ICML, IEEE Transactions on Image Processing, and IEEE Transactions on Information Forensics & Security, etc.
- Developer of torchattacks(★1600+) and torchbnn(★400+).
- I’m always looking for new joint-research opportunities. If you’re interested in my research interests, please feel free to contact me at the email in here.