Bo-Han Kung

龔柏翰

I am a Ph.D. student in the Department of Computer Science and Information Engineering at National Taiwan University. I am currently working in the Artificial Intelligence Security Lab (AIS Lab) at NTU, under the guidance of Prof. Shang-Tse Chen.

Before joining the AIS Lab, I was a full-time research assistant at AiiuLab in Academia Sinica, where I worked under Prof. Jun-Cheng Chen. My research primarily focused on enhancing the robustness of computer vision systems.

Recently, my research has expanded to focus on the security aspects of machine learning, both applied and theoretical.

Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization
Bo-Han Kung and Shang-Tse Chen
Proceedings of the AAAI Conference on Artificial Intelligence, 2024, pp. 21285-21293

Clipcam: A simple baseline for zero-shot text-guided object and action localization
Hsuan-An Hsia, Che-Hsien Lin, Bo-Han Kung, Jhao-Ting Chen, Daniel Stanley Tan, Jun-Cheng Chen, Kai-Lung Hua
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4453-4457

Naturalistic Physical Adversarial Patch for Object Detectors
Yu-Chih-Tuan Hu, Bo-Han Kung, Daniel Stanley Tan, Jun-Cheng Chen, Kai-Lung Hua, and Wen-Huang Cheng
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 7848-7857
Github

Class-Aware Robust Adversarial Training for Object Detection
Pin-Chun Chen, Bo-Han Kung, and Jun-Cheng Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 10420-10429

Squeeze and Reconstruct: Improved Practical Adversarial Defense using Paired Image Compression and Reconstruction
Bo-Han Kung, Pin-Chun Chen, Yu-Cheng Liu, and Jun-Cheng Chen
2021 IEEE International Conference on Image Processing (ICIP), 2021, pp. 849-853

An Efficient ECG Classification System Using Resource-Saving Architecture and Random Forest
Bo-Han Kung, Po-Yuan Hu, Chiu-Chang Huang, Cheng-Che Lee, Chia-Yu Yao, and Chieh-Hsiung Kuan
IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 6, pp. 1904-1914, June 2021

Baseline Correction and Denoising of Raman Spectra by Deep Residual CNN
Bo-Han Kung, Chiu-Chang Huang, Po-Yuan Hu, Shao-yu Lo, Cheng-Che Lee, Chia-Yu Yao, and Chieh-Hsiung Kuan
2020 Conference on Lasers and Electro-Optics (CLEO), 2020

Teaching Assistant,
Department of Computer Science and Information Engineering, National Taiwan University.
Course: Introduction to Medical Informatics

Teaching Assistant,
Department of Computer Science and Information Engineering, National Taiwan University.
Course: Digital Signal Processing

Research Assistant (Full-time, 13 months),
Research Center for Information Technology Innovation, Academia Sinica.
Advised by Prof. Jun-Cheng Chen.
Research: Computer Vision, Neural Networks Robustness.

Teaching Assistant,
Department of Electrical Engineering, National Taiwan University.
Course: Probability and Statistics

Teaching Assistant,
Department of Electrical Engineering, National Taiwan University.
Course: Differential Equation

Teaching Assistant,
Department of Electrical Engineering, National Taiwan University.
Course: Electronic Circuits

Teaching Assistant,
Department of Electrical Engineering, National Taiwan University.
Course: Differential Equation