Yebon Kim (김예본)

Email:
yebon.kim25@imperial.ac.uk
yebon.kim@kcl.ac.uk

Address:
Room 558, Huxley Building
180 Queen's Gate
South Kensington
London SW7 2AZ

Education

• 2025.10 - Present PhD in Computing, Imperial College London, United Kingdom.
• 2023.03 - 2025.02 Master of Science in Computer Science, Yonsei University, South Korea.
• 2018.03 - 2023.02 Bachelor of Engineering in Computer Engineering, Yonsei University, South Korea.

Hi! I am a PhD candidate at Imperial College London Computing under the supervision of Prof. Emil Lupu.

My research primarily focuses on AI security and Trustworthy AI, specifically in the areas of adversarial attacks and defenses. I am also interested in Computer Vision models, Large Language Models (LLMs), and Generative Adversarial Networks (GANs).

I am currently part of the Safe and Trusted AI PhD programme, a joint initiative with King's College London. Through my research, I aim to develop robust and reliable AI systems that can withstand adversarial threats while maintaining high performance in real-world applications.

Experience

Teaching Assistant

• Computing Practical 1 (40009) - Imperial College London Oct 2025 - Present

• Java Programming - Dept. of Software, Yonsei University Sep - Dec 2024

• Mobile Programming - Dept. of Software, Yonsei University Mar - Jun 2023, Mar - Jun 2024

• Microprocessor - Dept. of Software, Yonsei University Mar - Jun 2023, Mar - Jun 2024

• Logic Circuits Design - Dept. of Software, Yonsei University Sep - Dec 2023

• Linear Algebra - Dept. of Software, Yonsei University Sep - Dec 2023

• Medical Information Software Experiment - Dept. of Software, Yonsei University Summer 2023, Winter 2023

• Data Structure - Dept. of Software, Yonsei University Mar - Jun 2023

Projects

• Healthcare Software Development and Platform Construction (2024)

  - Managed healthcare data accumulation, preprocessing, and refinement for analytics platform.

• Expansion and Demonstration Support for Telemedicine (2024)

  - Conducted medical data acquisition and preprocessing for telemedicine platform.

• Development of Software Protection Methods for Improving Hardware Reliability (2023)

  - Developed and published research on maintaining neural network reliability against bit-flip errors.

• Establishment of Disease Prediction Software Platform Based on Serum Malondialdehyde Mass Spectrometry (2023)

  - Implemented regression analysis and disease prediction models using XGBoost, SVM, and other ML algorithms.

• Development of Universal XR Platform Technology for Building Metaverse Supporting Digital Culture Inclusivity (2023)

  - Implemented fixed viewpoint design by integrating UNITY with sensors.

• Google Developer Student Clubs (DSC) – CORE MEMBER (2019 - 2020)

  - Led Machine Learning Study Group and organized several hackathons.

Publications

• Heeyon Kim, Soyeong Park, Yebon Kim, Yun Soo Chung, Jin Kyung Baek, Jeongmi Yoon, Chungsoon Ryu, Bo Hyon Yun, Young Sik Choi, Daewoo Pak, Seok Kyo Seo, and Yohan Ko, "Ambient climatic conditions and semen quality: a comparative analysis across the periods before, during, and after the COVID-19 pandemic," Frontiers in endocrinology, Sep 2025.
• Yebon Kim, Jinhyo Jung, Hyunjun Kim, Hwisoo So, Yohan Ko, Aviral Shrivastava, Kyoungwoo Lee, and Uiwon Hwang, "Adversarial Defense on Harmony: Reverse Attack for Robust Models Against Adversarial Attacks," IEEE ACCESS, Nov 2024.
• Hyojun Lee, Soyeong Park, Yebon Kim, Daehoon Son, Yohan Ko, Yun-hwan Lee, Yeong-hun Kwon, Jong-bae Kim, "A SemiAutomated Labeling-Based Data Collection Platform for Golf Swing Analysis," Education Journal of The Korea Society of Computer and Information, August 2024.
• Yeong-Hun Kwon, Yun-Hwan Lee, Minsung Yoon, So-Yeong Park, Dae-Hoon Son, Ye-Bon Kim, Hyo-Jun Lee, Yohan Ko, JongSung Kim, and Jongbae Kim, "Physical Human Factor Parameters through VR Leisure Contents: Focused on Motion Feature Extraction for Adults from VR Bowling," International Conference on Applied Human Factors and Ergonomics (AHFE), May 2024.
• Jinhyo Jung, Hwisoo So, Woobin Ko, Sumedh Shridhar Joshi, Yebon Kim, Yohan Ko, Aviral Shrivastava, and Kyoungwoo Lee, "Maintaining Sanity: Algorithm-based comprehensive fault tolerance for CNNs," Design Automation Conference (DAC), April 2024. (Acceptance rate: 23%)
• Yunhwan Lee, Yeonghun Kwon, Soyeong Park, Daehoon Son, Yebon Kim, Hyojun Lee, Yohan Ko, Jongsung Kim, Jongbae Kim, "Physical human factor for the development of universal XR platform to build a metaverse supporting digital inclusive leisure & culture," International Conference on Applied Human Factors and Ergonomics (AHFE), December 2023.
• Soyeong Park, Daehoon Son, Yebon Kim, Hyojun Lee, Yohan Ko, Yunhwan Lee, Yeonghun Kwon, Jongbae Kim, "Data collection platform for activity recognition in virtual reality environments," Korea Software Congress (KSC), December 2023.
• Yebon Kim, Hongkuk Yoon, Jinhyo Jung, Woobin Ko, Yohan Ko, Kyoungwoo Lee, "CUZED: Error correction using zero-weight upon low-cost error detection on fully connected layers," Korea Artificial Intelligence Conference (KAIC), September 2023.

Patents

Patents information will be added here.