Ph.D. Candidate · National Taiwan University
AI Security &
Trustworthy AI
I am a Ph.D. candidate in the Department of Computer Science and Information Engineering at National Taiwan University, where I work in the Artificial Intelligence Security Lab (AIS Lab) under Prof. Shang-Tse Chen.
I am currently a research intern at the National Institute of Informatics (NII) in Japan, supervised by Prof. Isao Echizen.
Before joining AIS Lab, I was a full-time Research Assistant at AIIU Lab, Academia Sinica, under Prof. Jun-Cheng Chen, where I focused on improving the robustness of computer vision systems.
Research
My research spans both the theoretical and applied security of machine learning. I am particularly interested in AI security and Trustworthy AI — making models provably robust, fair, and privacy-preserving rather than merely accurate.
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01
Certified Robustness
Randomized smoothing, orthogonal layers, and training objectives that yield provable guarantees instead of empirical ones.
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02
Adversarial Machine Learning
Physical and digital attacks on vision systems, and robust training for detection and classification.
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03
Trustworthy AI
Fairness and privacy as first-class objectives alongside robustness.
News
Publications
* denotes equal contribution.
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Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss
International Conference on Machine Learning (ICML), 2025
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Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization
Proceedings of the AAAI Conference on Artificial Intelligence, 2024, pp. 21285–21293
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CLIPCAM: A Simple Baseline for Zero-Shot Text-Guided Object and Action Localization
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 4453–4457
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Naturalistic Physical Adversarial Patch for Object Detectors
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 7848–7857
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Class-Aware Robust Adversarial Training for Object Detection
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 10420–10429
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Squeeze and Reconstruct: Improved Practical Adversarial Defense Using Paired Image Compression and Reconstruction
IEEE International Conference on Image Processing (ICIP), 2021, pp. 849–853
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An Efficient ECG Classification System Using Resource-Saving Architecture and Random Forest
IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 6, pp. 1904–1914, June 2021
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Baseline Correction and Denoising of Raman Spectra by Deep Residual CNN
Conference on Lasers and Electro-Optics (CLEO), 2020
Education
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2021 — present
Ph.D. student in Computer Science and Information Engineering
National Taiwan University (NTU), Taipei, Taiwan
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2018 — 2020
M.S. in Biomedical Electronics and Bioinformatics
National Taiwan University (NTU), Taipei, Taiwan
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2014 — 2018
B.S. in Mechanical Engineering
National Taiwan University (NTU), Taipei, Taiwan
Experience
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2022.02 — 2025.06
Teaching Assistant
Department of Computer Science and Information Engineering, National Taiwan University
Course: Introduction to Medical Informatics
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2021.09 — 2022.01
Teaching Assistant
Department of Computer Science and Information Engineering, National Taiwan University
Course: Digital Signal Processing
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2020.07 — 2021.08
Research Assistant Full-time · 13 months
Research Center for Information Technology Innovation, Academia Sinica
Advised by Prof. Jun-Cheng Chen. Research: computer vision, neural network robustness.
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2020.02 — 2020.06
Teaching Assistant
Department of Electrical Engineering, National Taiwan University
Course: Probability and Statistics
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2019.09 — 2020.01
Teaching Assistant
Department of Electrical Engineering, National Taiwan University
Course: Differential Equations
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2019.02 — 2019.06
Teaching Assistant
Department of Electrical Engineering, National Taiwan University
Course: Electronic Circuits
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2018.09 — 2019.01
Teaching Assistant
Department of Electrical Engineering, National Taiwan University
Course: Differential Equations