Chih-Hsun
Lin

  • Mail
  • pkevawin334@gmail.com

Bio: Chih-Hsun Lin is an Assistant Professor in the Department of Computer Science at National Chengchi University, Taipei, Taiwan. He received his Ph.D. degree in Computer Science and Engineering from National Yang-Ming Chiao Tung University in September 2025. His research interests include neural network security and data privacy.

Experience

Period
Sep 2020 - Sep 2025

Sep 2016 - Jan 2020

Sep 2008 - Jun 2012
Education

Doctor of Philosophy/Institute of Computer Science and Engineering/National Yang Ming Chiao Tung University

Master/Department of Computer Science and Engineering/National Chung Hsing University

Bachelor/Department of Applied Mathematics/National Chung Hsing University

Journal
[1] Chih-Hsun Lin, Chia-Yi Hsu, Chia-Mu Yu, Cao Yang, and Chun-Ying Huang. DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase. IEEE IoT-J, 2024. (Impact Factor:8.9, Field Ranking:11/258 (JCR 2024))
[2] Chih-Hsun Lin, Chia-Mu Yu, and Chun-Ying Huang. DPView:Differentially Private Data Synthesis through Domain Size Information. IEEE IoT-J, 2022. (Impact Factor:10.6, Field Ranking:4/158 (JCR 2022))
Conference
[1] Ting-Wei Liao, Chih-Hsun Lin, Yu-Lin Tsai, Takao Murakami, Chia-Mu Yu, Jun Sakuma, Chun-Ying Huang, and Hiroaki Kikuchi. Data Poisoning Attacks to Locally Differentially Private Range Query Protocols. NDSS, 2026. (Under Review)
[2] I-Jung Hsu, Chih-Hsun Lin, Chia-Mu Yu, Sy-Yen Kuo, and Chun-Ying Huang. Poisoning Attacks to Local Differential Privacy Protocols for Trajectory Data. IEEE TIFS, 2026. (Under Review)
[3] Chia-Yi Hsu, Yu-Lin Tsai, Yu Zhe, Yan-Lun Chen, Chih-Hsun Lin, Chia-Mu Yu, Yang Zhang, Chun-Ying Huang, and Jun Sakuma. BadTV: Unveiling Backdoor Threats in Third-Party Task Vectors. ACM CCS, 2026. (Under Review)
[4] Chia-Yi Hsu, Jia-You Chen, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, and Chun-Ying Huang. VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis. IEEE ICASSP, 2025.
[5] Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, and Chun-Ying Huang. Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models. NeurIPS, 2024.
[6] Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, and Chun-Ying Huang. Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?. ICLR, 2024.
[7] Hsiu-Fu Wu, Chia-Yi Hsu, Chih-Hsun Lin, Chia-Mu Yu, and Chun-Ying Huang. Deepfake Detection through Temporal Attention. IEEE WOCC, 2024.
[8] Chih-Hsun Lin and Chia-Mu Yu. Privacy-Preserving Record Linkage via Bilinear Pairing Approach. IEEE ICCE-TW, 2018.

Skills

  • Python
  • Matlab
  • Javascript