Scholar
Hui-Po Wang (王暉博)
Google Scholar ID: UAnfs8UAAAAJ
Ph.D. student, CISPA-Helmholtz Center for Information Security
Citations & Impact
Citations
548
H-index
8
i10-index
8
Publications
15
Co-authors
8
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Multiple papers accepted by top conferences like ICML, MICCAI, TMLR, NeurIPS, PETS, etc., including Stealix (ICML 2025), Automated Detection of Abnormalities in Zebrafish Development (MICCAI 2025), DP-2Stage (TMLR 2025), LM-GC (NeurIPS 2024), FedLAP-DP (PETS 2024), ProgFed (ICML 2022), and HijackGAN (CVPR 2021).
Research Experience
- Research Scientist at Meta; presented work at multiple international conferences such as ELSA General Assembly Meeting 2024, National Yang Ming University, and Taipei Veterans General Hospital.
Education
- PhD under the supervision of Prof. Mario Fritz at CISPA, Germany; before joining CISPA, a research intern at Max-Planck Institute for Informatics, Germany, and received Master’s degree under the supervision of Prof. Wen-Hsiao Peng and Prof. Wei-Chen Chiu at National Yang Ming Chiao Tung University, Taiwan.
Background
- Research focuses on efficient and trustworthy machine learning, aiming to make AI models more accessible and beneficial to the general public. Recently, exploring the safety and reliability of Large Language Models (LLMs), including defenses against prompt injection attacks, protection strategies, and methods to identify, mitigate, and even leverage implicit biases within these systems.
